Network infrastructures have played important part in most daily communications for business industries, social networking, government sectors and etc. Despites the advantages that came from such functionalities, security threats have become a daily struggle. One major security threat is hacking. Consequently, security experts and researchers have suggested possible security solutions such as Firewalls, Intrusion Detection Systems (IDS), Intrusion Detection and Prevention Systems (IDP) and Honeynet. Yet, none of these solutions have proven their ability to completely address hacking. The reason behind that, there is a few researches that examine the behavior of hackers. This paper formally and practically examines in details the behavior of hackers and their targeted environments. Moreover, this paper formally examines the properties of one essential pre-hacking step called scanning and highlights its importance in developing hacking strategies. Also, it illustrates the properties of hacking that is common in most hacking strategies to assist security experts and researchers towards minimizing the risk of hack.
NETWORK INTRUSION DETECTION AND COUNTERMEASURE SELECTION IN VIRTUAL NETWORK (...ijsptm
Intrusion in a network or a system is a problem today as the trend of successful network attacks continue to
rise. Intruders can explore vulnerabilities of a network system to gain access in order to deploy some virus
or malware such as Denial of Service (DOS) attack. In this work, a frequency-based Intrusion Detection
System (IDS) is proposed to detect DOS attack. The frequency data is extracted from the time-series data
created by the traffic flow using Discrete Fourier Transform (DFT). An algorithm is developed for
anomaly-based intrusion detection with fewer false alarms which further detect known and unknown attack
signature in a network. The frequency of the traffic data of the virus or malware would be inconsistent with
the frequency of the legitimate traffic data. A Centralized Traffic Analyzer Intrusion Detection System
called CTA-IDS is introduced to further detect inside attackers in a network. The strategy is effective in
detecting abnormal content in the traffic data during information passing from one node to another and
also detects known attack signature and unknown attack. This approach is tested by running the artificial
network intrusion data in simulated networks using the Network Simulator2 (NS2) software.
Network Intrusion Detection And Countermeasure Selection In Virtual Network (...ClaraZara1
Intrusion in a network or a system is a problem today as the trend of successful network attacks continue to rise. Intruders can explore vulnerabilities of a network system to gain access in order to deploy some virus or malware such as Denial of Service (DOS) attack. In this work, a frequency-based Intrusion Detection System (IDS) is proposed to detect DOS attack. The frequency data is extracted from the time-series data created by the traffic flow using Discrete Fourier Transform (DFT). An algorithm is developed for anomaly-based intrusion detection with fewer false alarms which further detect known and unknown attack signature in a network. The frequency of the traffic data of the virus or malware would be inconsistent with the frequency of the legitimate traffic data. A Centralized Traffic Analyzer Intrusion Detection System called CTA-IDS is introduced to further detect inside attackers in a network. The strategy is effective in detecting abnormal content in the traffic data during information passing from one node to another and also detects known attack signature and unknown attack. This approach is tested by running the artificial network intrusion data in simulated networks using the Network Simulator2 (NS2) software.
INTRUSION DETECTION SYSTEM USING CUSTOMIZED RULES FOR SNORTIJMIT JOURNAL
These days the security provided by the computer systems is a big issue as it always has the threats of
cyber-attacks like IP address spoofing, Denial of Service (DOS), token impersonation, etc. The security
provided by the blue team operations tends to be costly if done in large firms as a large number of systems
need to be protected against these attacks. This leads these firms to turn to less costly security
configurations like IDS Suricata and IDS Snort. The main theme of the project is to improve the services
provided by Snort which is a tool used in creating a vague defense against cyber-attacks like DDOS
attacks which are done on both physical and network layers. These attacks in turn result in loss of
extremely important data. The rules defined in this project will result in monitoring traffic, analyzing it,
and taking appropriate action to not only stop the attack but also locate its source IP address. This whole
process uses different tools other than Snort like Wireshark, Wazuh and Splunk. The product of this will
result in not only the detection of the attack but also the source IP address of the machine on which the
attack is initiated and completed. The end product of this research will result in sets of default rules for the
Snort tool which will not only be able to provide better security than its previous versions but also be able
to provide the user with the IP address of the attacker or the person conducting the attack. The system
involves the integration of Wazuh with Snort tool in order to make it more efficient than IDS Suricata
which is another intrusion detection system capable of detecting all these types of attacks as mentioned.
Splunk is another tool used in this project which increases the firewall efficiency to pass the no. of bits to
be scanned and the no. of bits scanned successfully. Wazuh is used in this system as it is the best choice for
traffic monitoring and incident response than any other of its alternatives in the market. Since this system
is used in firms which are known to handle big amounts of data and for this purpose, we use Splunk tool as
it is very efficient in handling big amounts of data. Wireshark is used in this system in order to give the IDS
automation in its capability to capture and report the malicious packets found during the network scan. All
of this gives the IDS a capability of a low budget automated threat detection system. This paper gives
complete guidelines for authors submitting papers for the AIRCC Journals.
Cyber Warfare is the current single greatest emerging threat to National Security. Network security has become an essential component of any computer network. As computer networks and systems become ever more fundamental to modern society, concerns about security has become increasingly important. There are a multitude of different applications open source and proprietary available for the protection +-system administrator, to decide on the most suitable format for their purpose requires knowledge of the available safety measures, their features and how they affect the quality of service, as well as the kind of data they will be allowing through un flagged. A majority of methods currently used to ensure the quality of a networks service are signature based. From this information, and details on the specifics of popular applications and their implementation methods, we have carried through the ideas, incorporating our own opinions, to formulate suggestions on how this could be done on a general level. The main objective was to design and develop an Intrusion Detection System. While the minor objectives were to; Design a port scanner to determine potential threats and mitigation techniques to withstand these attacks. Implement the system on a host and Run and test the designed IDS. In this project we set out to develop a Honey Pot IDS System. It would make it easy to listen on a range of ports and emulate a network protocol to track and identify any individuals trying to connect to your system. This IDS will use the following design approaches: Event correlation, Log analysis, Alerting, and policy enforcement. Intrusion Detection Systems (IDSs) attempt to identify unauthorized use, misuse, and abuse of computer systems. In response to the growth in the use and development of IDSs, we have developed a methodology for testing IDSs. The methodology consists of techniques from the field of software testing which we have adapted for the specific purpose of testing IDSs. In this paper, we identify a set of general IDS performance objectives which is the basis for the methodology. We present the details of the methodology, including strategies for test-case selection and specific testing procedures. We include quantitative results from testing experiments on the Network Security Monitor (NSM), an IDS developed at UC Davis. We present an overview of the software platform that we have used to create user-simulation scripts for testing experiments. The platform consists of the UNIX tool expect and enhancements that we have developed, including mechanisms for concurrent scripts and a record-and-replay feature. We also provide background information on intrusions and IDSs to motivate our work.
An Assessment of Intrusion Detection System IDS and Data Set Overview A Compr...ijtsrd
Millions of people worldwide have Internet access today. Intrusion detection technology is a modern wave of information technology monitoring devices to deter malicious activities. Malware development malicious software is a vital problem when it comes to designing intrusion detection systems IDS . The key challenge is to recognize unknown and hidden malware, because malware writers use various evasion techniques to mask information to avoid IDS detection. Malicious attacks have become more sophisticated and Furthermore, threats to security have increased, including a zero day attack on internet users. Through the use of IT in our daily lives, computer security has become critical. Cyber threats are becoming more complex and pose growing challenges when it comes to successful intrusion detection. Failure to prevent invading information, such as data privacy, integrity and availability can undermine the credibility of security services. Specific intrusion detection approaches were proposed in the literature to combat computer security threats. This paper consists of a literature survey of the IDS that uses program algorithms to use specific data collection and forensic techniques in real time. Data mining techniques for cyber research are introduced in support of intrusion detection. Mohammed I. Alghamdi "An Assessment of Intrusion Detection System (IDS) and Data-Set Overview: A Comprehensive Review of Recent Works" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd35730.pdf Paper Url: https://www.ijtsrd.com/computer-science/computer-security/35730/an-assessment-of-intrusion-detection-system-ids-and-dataset-overview-a-comprehensive-review-of-recent-works/mohammed-i-alghamdi
NETWORK INTRUSION DETECTION AND COUNTERMEASURE SELECTION IN VIRTUAL NETWORK (...ijsptm
Intrusion in a network or a system is a problem today as the trend of successful network attacks continue to
rise. Intruders can explore vulnerabilities of a network system to gain access in order to deploy some virus
or malware such as Denial of Service (DOS) attack. In this work, a frequency-based Intrusion Detection
System (IDS) is proposed to detect DOS attack. The frequency data is extracted from the time-series data
created by the traffic flow using Discrete Fourier Transform (DFT). An algorithm is developed for
anomaly-based intrusion detection with fewer false alarms which further detect known and unknown attack
signature in a network. The frequency of the traffic data of the virus or malware would be inconsistent with
the frequency of the legitimate traffic data. A Centralized Traffic Analyzer Intrusion Detection System
called CTA-IDS is introduced to further detect inside attackers in a network. The strategy is effective in
detecting abnormal content in the traffic data during information passing from one node to another and
also detects known attack signature and unknown attack. This approach is tested by running the artificial
network intrusion data in simulated networks using the Network Simulator2 (NS2) software.
Network Intrusion Detection And Countermeasure Selection In Virtual Network (...ClaraZara1
Intrusion in a network or a system is a problem today as the trend of successful network attacks continue to rise. Intruders can explore vulnerabilities of a network system to gain access in order to deploy some virus or malware such as Denial of Service (DOS) attack. In this work, a frequency-based Intrusion Detection System (IDS) is proposed to detect DOS attack. The frequency data is extracted from the time-series data created by the traffic flow using Discrete Fourier Transform (DFT). An algorithm is developed for anomaly-based intrusion detection with fewer false alarms which further detect known and unknown attack signature in a network. The frequency of the traffic data of the virus or malware would be inconsistent with the frequency of the legitimate traffic data. A Centralized Traffic Analyzer Intrusion Detection System called CTA-IDS is introduced to further detect inside attackers in a network. The strategy is effective in detecting abnormal content in the traffic data during information passing from one node to another and also detects known attack signature and unknown attack. This approach is tested by running the artificial network intrusion data in simulated networks using the Network Simulator2 (NS2) software.
INTRUSION DETECTION SYSTEM USING CUSTOMIZED RULES FOR SNORTIJMIT JOURNAL
These days the security provided by the computer systems is a big issue as it always has the threats of
cyber-attacks like IP address spoofing, Denial of Service (DOS), token impersonation, etc. The security
provided by the blue team operations tends to be costly if done in large firms as a large number of systems
need to be protected against these attacks. This leads these firms to turn to less costly security
configurations like IDS Suricata and IDS Snort. The main theme of the project is to improve the services
provided by Snort which is a tool used in creating a vague defense against cyber-attacks like DDOS
attacks which are done on both physical and network layers. These attacks in turn result in loss of
extremely important data. The rules defined in this project will result in monitoring traffic, analyzing it,
and taking appropriate action to not only stop the attack but also locate its source IP address. This whole
process uses different tools other than Snort like Wireshark, Wazuh and Splunk. The product of this will
result in not only the detection of the attack but also the source IP address of the machine on which the
attack is initiated and completed. The end product of this research will result in sets of default rules for the
Snort tool which will not only be able to provide better security than its previous versions but also be able
to provide the user with the IP address of the attacker or the person conducting the attack. The system
involves the integration of Wazuh with Snort tool in order to make it more efficient than IDS Suricata
which is another intrusion detection system capable of detecting all these types of attacks as mentioned.
Splunk is another tool used in this project which increases the firewall efficiency to pass the no. of bits to
be scanned and the no. of bits scanned successfully. Wazuh is used in this system as it is the best choice for
traffic monitoring and incident response than any other of its alternatives in the market. Since this system
is used in firms which are known to handle big amounts of data and for this purpose, we use Splunk tool as
it is very efficient in handling big amounts of data. Wireshark is used in this system in order to give the IDS
automation in its capability to capture and report the malicious packets found during the network scan. All
of this gives the IDS a capability of a low budget automated threat detection system. This paper gives
complete guidelines for authors submitting papers for the AIRCC Journals.
Cyber Warfare is the current single greatest emerging threat to National Security. Network security has become an essential component of any computer network. As computer networks and systems become ever more fundamental to modern society, concerns about security has become increasingly important. There are a multitude of different applications open source and proprietary available for the protection +-system administrator, to decide on the most suitable format for their purpose requires knowledge of the available safety measures, their features and how they affect the quality of service, as well as the kind of data they will be allowing through un flagged. A majority of methods currently used to ensure the quality of a networks service are signature based. From this information, and details on the specifics of popular applications and their implementation methods, we have carried through the ideas, incorporating our own opinions, to formulate suggestions on how this could be done on a general level. The main objective was to design and develop an Intrusion Detection System. While the minor objectives were to; Design a port scanner to determine potential threats and mitigation techniques to withstand these attacks. Implement the system on a host and Run and test the designed IDS. In this project we set out to develop a Honey Pot IDS System. It would make it easy to listen on a range of ports and emulate a network protocol to track and identify any individuals trying to connect to your system. This IDS will use the following design approaches: Event correlation, Log analysis, Alerting, and policy enforcement. Intrusion Detection Systems (IDSs) attempt to identify unauthorized use, misuse, and abuse of computer systems. In response to the growth in the use and development of IDSs, we have developed a methodology for testing IDSs. The methodology consists of techniques from the field of software testing which we have adapted for the specific purpose of testing IDSs. In this paper, we identify a set of general IDS performance objectives which is the basis for the methodology. We present the details of the methodology, including strategies for test-case selection and specific testing procedures. We include quantitative results from testing experiments on the Network Security Monitor (NSM), an IDS developed at UC Davis. We present an overview of the software platform that we have used to create user-simulation scripts for testing experiments. The platform consists of the UNIX tool expect and enhancements that we have developed, including mechanisms for concurrent scripts and a record-and-replay feature. We also provide background information on intrusions and IDSs to motivate our work.
An Assessment of Intrusion Detection System IDS and Data Set Overview A Compr...ijtsrd
Millions of people worldwide have Internet access today. Intrusion detection technology is a modern wave of information technology monitoring devices to deter malicious activities. Malware development malicious software is a vital problem when it comes to designing intrusion detection systems IDS . The key challenge is to recognize unknown and hidden malware, because malware writers use various evasion techniques to mask information to avoid IDS detection. Malicious attacks have become more sophisticated and Furthermore, threats to security have increased, including a zero day attack on internet users. Through the use of IT in our daily lives, computer security has become critical. Cyber threats are becoming more complex and pose growing challenges when it comes to successful intrusion detection. Failure to prevent invading information, such as data privacy, integrity and availability can undermine the credibility of security services. Specific intrusion detection approaches were proposed in the literature to combat computer security threats. This paper consists of a literature survey of the IDS that uses program algorithms to use specific data collection and forensic techniques in real time. Data mining techniques for cyber research are introduced in support of intrusion detection. Mohammed I. Alghamdi "An Assessment of Intrusion Detection System (IDS) and Data-Set Overview: A Comprehensive Review of Recent Works" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd35730.pdf Paper Url: https://www.ijtsrd.com/computer-science/computer-security/35730/an-assessment-of-intrusion-detection-system-ids-and-dataset-overview-a-comprehensive-review-of-recent-works/mohammed-i-alghamdi
DEFENSE MECHANISMS FOR COMPUTER-BASED INFORMATION SYSTEMSIJNSA Journal
Nowadays, corporations and a government agencies relay on computer-based information system to
manage their information, this information may be classified, so it will be dangerous if it is disclosed by
unauthorized persons. Therefore, there is urgent need for defense. In this research, defense has been
categorized into four mechanisms technical defense, operation defense, management defense, and physical
defense based on the logic of computer and network security. Also, each mechanism has been investigated
and explained in the term of computer based information systems.
IMPROVED IDS USING LAYERED CRFS WITH LOGON RESTRICTIONS AND MOBILE ALERTS BAS...IJNSA Journal
With the ever increasing number and diverse type of attacks, including new and previously unseen attacks, the effectiveness of an Intrusion Detection System is very important. Hence there is high demand to reduce the threat level in networks to ensure the data and services offered by them to be more secure. In this paper we developed an effective test suite for improving the efficiency and accuracy of an intrusion detection system using the layered CRFs. We set up different types of checks at multiple levels in each layer. Our framework examines various attributes at every layer in order to effectively identify any breach of security. Once the attack is detected, it is intimated through mobile phone to the system administrator for safeguarding the server system. We established experimentally that the layered CRFs can thus be more effective in detecting intrusions when compared with the other previously known techniques.
HYBRIDIZED MODEL FOR DATA SECURITY BASED ON SECURITY HASH ANALYSIS (SHA 512) ...IJNSA Journal
High-profile security breaches and attacks on many organization’s database have been on the increase and the consequences of this, are the adverse effect on the organizations in terms of financial loss and reputation. Many of the security breaches has been ascribed to the vulnerability of the organization’s networks, security policy and operations. Additionally, the emerging technology solutions like Internet-ofThings (IoT), Artificial Intelligence, and Cloud Computing, has extremely exposed many of the organizations to different forms of cyber-threats and attacks. Researchers and system designers have made attempts to proffer solution to some of these challenges. However, the efficacy of the techniques remains a great concern due to insufficient control mechanisms. For instance, many of the techniques are majorly based on a single mode encryption techniques which are not too robust to withstand the threats and attacks on organization’s database. To proffer solution to these challenges, the current research designed and integrated a hybridized data security model based on Secured Hash Analysis (SHA 512) and Salting Techniques to enhance the adeptness of the existing techniques. The Hash Analysis algorithm was used to map the data considered to a bit string of a fixed length and salt was added to the password strings essentially to hide its real hash value. The idea of adding salt to the end of the password is basically to complicate the password cracking process. The hybridized model was implemented in Windows environment using python 3.7 IDE platform and tested on a dedicated Local Area Network (LAN) that was exposed to threats from both internal and external sources. The results from the test show that the model performed well in terms of efficiency and robustness to attacks. The performance of the new model recorded a high level of improvement over the existing techniques with a recital of 97.6%.
Designing Security Assessment of Client Server System using Attack Tree Modelingijtsrd
Information security has grown as a prominent issue in our digital life. The network security is becoming more significant as the volume of data being exchanged over net increases day by day. Attack trees AT technique play an important role to investigate the threat analysis problem to known cyber attacks for risk assessment. The technique is especially effective in assessing and managing the risks from hostile, intelligent adversaries. It is useful for analyzing threats against assets ranging from information systems to physical infrastructure. By using attack tree modeling analysis an organization can understand the ways in which they will be attacked, determine the likelihood and impact damage of these attacks and decide what action to take where the risks are unacceptable. This paper describes the attack tree model for organization based on Client Server Network. It provides the ways for defending and preventing sensitive information from attackers. Attack tree modeling provides for effective security solutions, cost effective security solutions and defensible risk mitigation decisions. Sandar Pa Pa Thein | Phyu Phyu | Thin Thin Swe "Designing Security Assessment of Client- Server System using Attack Tree Modeling" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26727.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/26727/designing-security-assessment-of-client--server-system-using-attack-tree-modeling/sandar-pa-pa-thein
AN ISP BASED NOTIFICATION AND DETECTION SYSTEM TO MAXIMIZE EFFICIENCY OF CLIE...IJNSA Journal
End users are increasingly vulnerable to attacks directed at web browsers which make the most of popularity of today’s web services. While organizations deploy several layers of security to protect their systems and data against unauthorised access, surveys reveal that a large fraction of end users do not utilize and/or are not familiar with any security tools. End users’ hesitation and unfamiliarity with security products contribute vastly to the number of online DDoS attacks, malware and Spam distribution. This work on progress paper proposes a design focused on the notion of increased participation of internet service providers in protecting end users. The proposed design takes advantage of three different detection tools to identify the maliciousness of a website content and alerts users through utilising Internet Content Adaptation Protocol (ICAP) by an In-Browser cross-platform messaging system. The system also incorporates the users’ online behaviour analysis to minimize the scanning intervals of malicious websites database by client honeypots. Findings from our proof of concept design and other research indicate that such a design can provide a reliable hybrid detection mechanism while introducing low delay time into user browsing experience.
Defense-through-Deception Network Security Model: Securing University Campus ...journalBEEI
Denial of Service (DOS) and (DDOS) Distributed Denial of Service attacks have become a major security threat to university campus network security since most of the students and teachers prepare online services such as enrolment, grading system, library etc. Therefore, the issue of network security has become a priority to university campus network management. Using online services in university network can be easily compromised. However, traditional security mechanisms approach such as Defense-In-Depth (DID) Model is outdated in today’s complex network and DID Model has been used as a primary cybersecurity defense model in the university campus network today. However, university administration should realize that Defense-In-Depth (DID) are playing an increasingly limited role in DOS/DDoS protection and this paper brings this fact to light. This paper presents that the Defense-In-Depth (DID) is not capable of defending complex and volatile DOS/DDOS attacks effectively. The test results were presented in this study in order to support our claim. The researchers established a Defense-In-Depth (DID) Network model at the Central Luzon State University and penetrated the Network System using DOS/DDOS attack to simulate the real network scenario. This paper also presents the new approach Defense-through-Deception network security model that improves the traditional passive protection by applying deception techniques to them that give insights into the limitations posed by the Defense-In-Depth (DID) Model. Furthermore, this model is designed to prevent an attacker who has already entered the network from doing damage.
INTERNAL SECURITY ON AN IDS BASED ON AGENTSIJNSA Journal
An Intrusion Detection System (IDS) can monitor different events that may occur in a determined network or host, and which affect any network security service (confidentiality, integrity, availability). Because of this, an IDS must be flexible and it must detect and trace each alert without affecting the system´s performance. On the other hand, agents ina Multi-Agent system have inherent security problems due to their mobility; that’s why we propose some techniques in order to provide internal security for the agents belonging to the system. The deployed IDS works with a multiagent platform and each component inside the infrastructure is verified using security techniques in order to provide integrity. Likewise, the agents can specialize in order to carry out specific jobs, for example monitoring TCP, UDP traffic, etc. The IDS can work without interfering in the system's performance. In this article we present a hierarchical IDS deployment with internal security on a multiagent system, using a platform named BESA with its processes, functions and results.
Network security is a dynamic art, with dangers appearing as fast as black hats can exploit vulnerabilities. While there are basic “golden rules” which can make life difficult for the bad guys, it remains a challenge to keep networks secure. John Chambers, Executive Chairman of Cisco, famously said “there are two types of companies: those that have been hacked, and those who don’t know they have been hacked”. The question for most organizations isn’t if they’re going to be breached, but how quickly they can isolate and mitigate the threat. In this paper, we’ll examine best practices for effective cybersecurity – from both a proactive (access hardening) and reactive (threat isolation and mitigation) perspective. We’ll address how network automation can help minimize cyberattacks by closing vulnerability gaps and how it can improve incident response times in the event of a cyberthreat. Finally, we’ll lay a vision for continuous network security, to explore how machine-to-machine automation may deliver an auto-securing and self-healing network.
Go to www.esgjrconsultinginc.com
Toward Continuous Cybersecurity With Network AutomationKen Flott
Network security is a dynamic art, with dangers appearing as
fast as black hats can exploit vulnerabilities. While there are
basic “golden rules” which can make life difficult for the bad
guys, it remains a challenge to keep networks secure. John
Chambers, Executive Chairman of Cisco, famously said “there
are two types of companies: those that have been hacked, and
those who don’t know they have been hacked”. The question
for most organizations isn’t if they’re going to be breached, but
how quickly they can isolate and mitigate the threat.
In this paper, we’ll examine best practices for effective
cybersecurity – from both a proactive (access hardening)
and reactive (threat isolation and mitigation) perspective.
We’ll address how network automation can help minimize
cyberattacks by closing vulnerability gaps and how it can
improve incident response times in the event of a cyberthreat.
Finally, we’ll lay a vision for continuous network security, to
explore how machine-to-machine automation may deliver an
auto-securing and self-healing network.
DEFENSE MECHANISMS FOR COMPUTER-BASED INFORMATION SYSTEMSIJNSA Journal
Nowadays, corporations and a government agencies relay on computer-based information system to
manage their information, this information may be classified, so it will be dangerous if it is disclosed by
unauthorized persons. Therefore, there is urgent need for defense. In this research, defense has been
categorized into four mechanisms technical defense, operation defense, management defense, and physical
defense based on the logic of computer and network security. Also, each mechanism has been investigated
and explained in the term of computer based information systems.
IMPROVED IDS USING LAYERED CRFS WITH LOGON RESTRICTIONS AND MOBILE ALERTS BAS...IJNSA Journal
With the ever increasing number and diverse type of attacks, including new and previously unseen attacks, the effectiveness of an Intrusion Detection System is very important. Hence there is high demand to reduce the threat level in networks to ensure the data and services offered by them to be more secure. In this paper we developed an effective test suite for improving the efficiency and accuracy of an intrusion detection system using the layered CRFs. We set up different types of checks at multiple levels in each layer. Our framework examines various attributes at every layer in order to effectively identify any breach of security. Once the attack is detected, it is intimated through mobile phone to the system administrator for safeguarding the server system. We established experimentally that the layered CRFs can thus be more effective in detecting intrusions when compared with the other previously known techniques.
HYBRIDIZED MODEL FOR DATA SECURITY BASED ON SECURITY HASH ANALYSIS (SHA 512) ...IJNSA Journal
High-profile security breaches and attacks on many organization’s database have been on the increase and the consequences of this, are the adverse effect on the organizations in terms of financial loss and reputation. Many of the security breaches has been ascribed to the vulnerability of the organization’s networks, security policy and operations. Additionally, the emerging technology solutions like Internet-ofThings (IoT), Artificial Intelligence, and Cloud Computing, has extremely exposed many of the organizations to different forms of cyber-threats and attacks. Researchers and system designers have made attempts to proffer solution to some of these challenges. However, the efficacy of the techniques remains a great concern due to insufficient control mechanisms. For instance, many of the techniques are majorly based on a single mode encryption techniques which are not too robust to withstand the threats and attacks on organization’s database. To proffer solution to these challenges, the current research designed and integrated a hybridized data security model based on Secured Hash Analysis (SHA 512) and Salting Techniques to enhance the adeptness of the existing techniques. The Hash Analysis algorithm was used to map the data considered to a bit string of a fixed length and salt was added to the password strings essentially to hide its real hash value. The idea of adding salt to the end of the password is basically to complicate the password cracking process. The hybridized model was implemented in Windows environment using python 3.7 IDE platform and tested on a dedicated Local Area Network (LAN) that was exposed to threats from both internal and external sources. The results from the test show that the model performed well in terms of efficiency and robustness to attacks. The performance of the new model recorded a high level of improvement over the existing techniques with a recital of 97.6%.
Designing Security Assessment of Client Server System using Attack Tree Modelingijtsrd
Information security has grown as a prominent issue in our digital life. The network security is becoming more significant as the volume of data being exchanged over net increases day by day. Attack trees AT technique play an important role to investigate the threat analysis problem to known cyber attacks for risk assessment. The technique is especially effective in assessing and managing the risks from hostile, intelligent adversaries. It is useful for analyzing threats against assets ranging from information systems to physical infrastructure. By using attack tree modeling analysis an organization can understand the ways in which they will be attacked, determine the likelihood and impact damage of these attacks and decide what action to take where the risks are unacceptable. This paper describes the attack tree model for organization based on Client Server Network. It provides the ways for defending and preventing sensitive information from attackers. Attack tree modeling provides for effective security solutions, cost effective security solutions and defensible risk mitigation decisions. Sandar Pa Pa Thein | Phyu Phyu | Thin Thin Swe "Designing Security Assessment of Client- Server System using Attack Tree Modeling" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26727.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/26727/designing-security-assessment-of-client--server-system-using-attack-tree-modeling/sandar-pa-pa-thein
AN ISP BASED NOTIFICATION AND DETECTION SYSTEM TO MAXIMIZE EFFICIENCY OF CLIE...IJNSA Journal
End users are increasingly vulnerable to attacks directed at web browsers which make the most of popularity of today’s web services. While organizations deploy several layers of security to protect their systems and data against unauthorised access, surveys reveal that a large fraction of end users do not utilize and/or are not familiar with any security tools. End users’ hesitation and unfamiliarity with security products contribute vastly to the number of online DDoS attacks, malware and Spam distribution. This work on progress paper proposes a design focused on the notion of increased participation of internet service providers in protecting end users. The proposed design takes advantage of three different detection tools to identify the maliciousness of a website content and alerts users through utilising Internet Content Adaptation Protocol (ICAP) by an In-Browser cross-platform messaging system. The system also incorporates the users’ online behaviour analysis to minimize the scanning intervals of malicious websites database by client honeypots. Findings from our proof of concept design and other research indicate that such a design can provide a reliable hybrid detection mechanism while introducing low delay time into user browsing experience.
Defense-through-Deception Network Security Model: Securing University Campus ...journalBEEI
Denial of Service (DOS) and (DDOS) Distributed Denial of Service attacks have become a major security threat to university campus network security since most of the students and teachers prepare online services such as enrolment, grading system, library etc. Therefore, the issue of network security has become a priority to university campus network management. Using online services in university network can be easily compromised. However, traditional security mechanisms approach such as Defense-In-Depth (DID) Model is outdated in today’s complex network and DID Model has been used as a primary cybersecurity defense model in the university campus network today. However, university administration should realize that Defense-In-Depth (DID) are playing an increasingly limited role in DOS/DDoS protection and this paper brings this fact to light. This paper presents that the Defense-In-Depth (DID) is not capable of defending complex and volatile DOS/DDOS attacks effectively. The test results were presented in this study in order to support our claim. The researchers established a Defense-In-Depth (DID) Network model at the Central Luzon State University and penetrated the Network System using DOS/DDOS attack to simulate the real network scenario. This paper also presents the new approach Defense-through-Deception network security model that improves the traditional passive protection by applying deception techniques to them that give insights into the limitations posed by the Defense-In-Depth (DID) Model. Furthermore, this model is designed to prevent an attacker who has already entered the network from doing damage.
INTERNAL SECURITY ON AN IDS BASED ON AGENTSIJNSA Journal
An Intrusion Detection System (IDS) can monitor different events that may occur in a determined network or host, and which affect any network security service (confidentiality, integrity, availability). Because of this, an IDS must be flexible and it must detect and trace each alert without affecting the system´s performance. On the other hand, agents ina Multi-Agent system have inherent security problems due to their mobility; that’s why we propose some techniques in order to provide internal security for the agents belonging to the system. The deployed IDS works with a multiagent platform and each component inside the infrastructure is verified using security techniques in order to provide integrity. Likewise, the agents can specialize in order to carry out specific jobs, for example monitoring TCP, UDP traffic, etc. The IDS can work without interfering in the system's performance. In this article we present a hierarchical IDS deployment with internal security on a multiagent system, using a platform named BESA with its processes, functions and results.
Network security is a dynamic art, with dangers appearing as fast as black hats can exploit vulnerabilities. While there are basic “golden rules” which can make life difficult for the bad guys, it remains a challenge to keep networks secure. John Chambers, Executive Chairman of Cisco, famously said “there are two types of companies: those that have been hacked, and those who don’t know they have been hacked”. The question for most organizations isn’t if they’re going to be breached, but how quickly they can isolate and mitigate the threat. In this paper, we’ll examine best practices for effective cybersecurity – from both a proactive (access hardening) and reactive (threat isolation and mitigation) perspective. We’ll address how network automation can help minimize cyberattacks by closing vulnerability gaps and how it can improve incident response times in the event of a cyberthreat. Finally, we’ll lay a vision for continuous network security, to explore how machine-to-machine automation may deliver an auto-securing and self-healing network.
Go to www.esgjrconsultinginc.com
Toward Continuous Cybersecurity With Network AutomationKen Flott
Network security is a dynamic art, with dangers appearing as
fast as black hats can exploit vulnerabilities. While there are
basic “golden rules” which can make life difficult for the bad
guys, it remains a challenge to keep networks secure. John
Chambers, Executive Chairman of Cisco, famously said “there
are two types of companies: those that have been hacked, and
those who don’t know they have been hacked”. The question
for most organizations isn’t if they’re going to be breached, but
how quickly they can isolate and mitigate the threat.
In this paper, we’ll examine best practices for effective
cybersecurity – from both a proactive (access hardening)
and reactive (threat isolation and mitigation) perspective.
We’ll address how network automation can help minimize
cyberattacks by closing vulnerability gaps and how it can
improve incident response times in the event of a cyberthreat.
Finally, we’ll lay a vision for continuous network security, to
explore how machine-to-machine automation may deliver an
auto-securing and self-healing network.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
DETERRING HACKING STRATEGIES VIA TARGETING SCANNING PROPERTIES
1. International Journal of Network Security & Its Applications (IJNSA) Vol.7, No.4, July 2015
DOI : 10.5121/ijnsa.2015.7401 1
DETERRING HACKING STRATEGIES VIA
TARGETING SCANNING PROPERTIES
Saad Alsunbul1,2
, Phu Dung Le1
and Jefferson Tan1
1
Caulfield School of Information Technology, Monash University, Melbourne,Australia
2
Computer Research Institute, King Abdullaziz for Science and Technology,
Riyadh,Saudi Arabia
ABSTRACT
Network infrastructures have played important part in most daily communications for business industries,
social networking, government sectors and etc. Despites the advantages that came from such
functionalities, security threats have become a daily struggle. One major security threat is hacking.
Consequently, security experts and researchers have suggested possible security solutions such as
Firewalls, Intrusion Detection Systems (IDS), Intrusion Detection and Prevention Systems (IDP) and
Honeynet. Yet, none of these solutions have proven their ability to completely address hacking. The reason
behind that, there is a few researches that examine the behavior of hackers. This paper formally and
practically examines in details the behavior of hackers and their targeted environments. Moreover, this
paper formally examines the properties of one essential pre-hacking step called scanning and highlights its
importance in developing hacking strategies. Also, it illustrates the properties of hacking that is common in
most hacking strategies to assist security experts and researchers towards minimizing the risk of hack.
KEYWORDS
Hacking, network security, security properties, pre-hacking, scanning, necessary information
1. INTRODUCTION
Currently, network infrastructures have played important part in most daily communications for
business industries, social networking, government sectors and etc. It has become a necessity for
most occurring communications in which it incredibly eases exchanging information, storing and
retrieving data. However, such a considerable advantage comes with many security threats. One
major security threat to computer networks is hacking.
Hacking is a descriptive term used to describe the attitude and behaviour of group of people who
are greatly involved in technical activities which, more commonly today than in previous years,
result in gaining unauthorized access on their victims’ infrastructures. Generally, hackers aim to
study all technologies aspects in most infrastructures and explore their vulnerabilities.
Vulnerabilities within infrastructures are mostly derived from vulnerabilities within operating
systems, network technologies, communication protocols, security postures, software errors or
even from the integration between these technologies.
2. International Journal of Network Security & Its Applications (IJNSA) Vol.7, No.4, July 2015
2
Currently, successful hacking attempts still present. For instance, in 2014, Sony Pictures
Entertainment was struck by hacking attack after releasing a movie called “The interview”. The
attack was intended to literally move data from Sony network and leave no possibility to recover
such lost data. [1]. Also, in 2012, the Saudi Arabia Oil Company (Saudi ARAMCO) was hit by
an external virus named Shamoon, which spread and affected around 30,000 workstations. That
malicious software aims to wipe computers hard drive indiscriminately. Fortunately, The
company stated that the virus did not reach to the production line and they have not clearly
identify the losses [2].
Such incidents have drawn security industry, experts and researchers towards addressing hacking.
There are many security solutions suggested and practically deployed in most network
infrastructures to address hacking in higher scale such as Firewalls, Intrusion Detection Systems
(IDS), Intrusion Detection and Prevention System (IDP), Honeypot and Honeynet. However,
there are still drawbacks associated with these security solutions that have proven their inability
to address such attacks.
There is a noticeable difference between security experts and hackers in the scene of exploring
vulnerabilities in computer systems [3]. For an effective secure defence system, a system designer
must fully understand hackers’ behaviours and propose a defence system that addresses the
common ground between most of hacking techniques. Nevertheless, there is unnoticeable effort
made by security experts and researchers with the aim to study the behavior of hackers.
The difficulty in pursuing this research field is caused by countless factors such as continuous
emerging of new technologies, introducing new vulnerabilities and etc. However, there is
indispensability to examine the behaviour of hackers in a great depth and find the common
starting ground for most hacking strategies. The purpose of this article is to illustrate our finding
of hacking root and common properties that must be satisfied by most hacking strategies that is to
be assisting future security researches towards addressing hacking.
This paper is organized as follows: Section 2 discuses the related work made towards addressing
hacking in large scale and their limitations. Moreover, section 2 highlights the importance of
studying hacking behaviour in order to suggest future security solutions based on our finding in
this article. Section 3 discuses the communication environment in general. Section 4 illustrates
hacking strategies and the necessary information for most hacking strategies. The three essential
pre-hacking steps are examined in section 5. Section 6 discusses the importance of scanning for
obtaining necessary information for hacking strategies. Then, the importance of scanning in
developing hacking strategies is illustrated in section 7. Examining the possibility of deterring
hacking strategies via targeting scanning properties is illustrated in section 7. Section 8 concludes
this paper.
2. RELATED WORK
Most of the current security solutions tend to embrace one option from the general classification
of the current solutions; it is either a passive defence or active defence approach. Passive defence
systems such as Firewalls, Intrusion Detection Systems (IDS) are security approaches that
preclude or minimize all defined or common cyber attacks in the first place when there are
hacking attempts. Despite the fact that most of these systems are essential for many network
3. International Journal of Network Security & Its Applications (IJNSA) Vol.7, No.4, July 2015
3
infrastructures, there are still limitations present in each of these systems, which will be explained
in detail in the following subsections. However, Active defence systems such as Intrusion
Detection and Prevention (IDP), and Honeypots, are considered more advanced security
approaches that detect common and some new intrusions and actively respond to these attacks.
2.1. Firewalls
The conceptual model of a firewall provides the ability to manage every sub-network separately
and gives every department the capability to manage their own sub-network according to their
policies and requirements [4]. This management feature escalates the importance of firewalls as a
building block of any network design [5]. To make a decision about a packet; the packet must be
examined under a sequence of rules. Then, the firewall generates the decision, which is applied to
the packet [6] [7]. Firewalls as security technology fall into four types based on the filtering
algorithm and the operation layer (IP, Transport or Application layers) and they are: Packet
filtering, Circuit gateway, Application gateway and hybrid firewalls [8].
Despite the fact that firewall is one of the building blocks in any network design, there are
limitations on using them as the one and only line of defence. Depending on the technical
capability of firewall designers, errors might be introduced if a firewall designer is not highly
trained and experienced [5]. The succession of malicious viruses and worms such as Blaster [9]
and Sapphire [10] implies that most of firewall breaches are caused by configuration errors.
Even the modern design of firewalls, which demands the distribution of firewalls within the
organization’s network, it fails because of the complex protection requirements. What makes the
situation even worse is that every host has limited users and all of them are treated as trustworthy
users, the possibility of getting inside attack such as IP network spoofing, packet sniffing and
denial-of-service is still possible [4]. Since those attacking strategies are mostly connected with
human behaviour, the importance of having dynamic security posture have become more
practically than the static security implementation.
2.2. Intrusion Detection Systems (IDS)
The conceptual model of IDS was introduced to be a real-time defence system to detect intruders
inside networks, unauthorized use, abuse and misuse of computer systems [11][12]. Basically, it
has been designed and proposed under the assumption that a normal user’s behaviour is
completely different than an intruder [12]. So, the gap between their behaviours is the key for
spotting an intrusion. IDS has the ability to analyse, detect intrusion, recognize the source of
attack and alleviate the effect of most of unexplored attacks [11].
IDS obtains data from different sources, which constructs a network infrastructure (networks and
hosts), and that differentiation creates a classification for IDS. The classification consists of:
Network-based IDS, Host-based IDS and Hybrid IDS [12].
Nevertheless, Detection technique requires a model of intrusion, which are: Anomaly or misuse
detection techniques. Anomaly detection technique applies the concept of collecting user’s
profiles and defines them as normal behaviours or normal patterns [13]. Then, in real time, IDS
analyses current users’ sessions and maps them with defined normal behaviours to recognize
4. International Journal of Network Security & Its Applications (IJNSA) Vol.7, No.4, July 2015
4
abnormal activities. The normal behaviour varies depending on the workload and number of
operations and activities operated by users [13][14]. However, the second type is referred as
misuse detection. Basically, it defines the basic techniques used by attackers and models them
into the system under the term “signatures” [12][13]. In that case, the system processes all
streamed audit files searching for these signatures [12][13][14].
Despite the fact that IDS systems are one important security component for most systems and
commonly deployed, there are some drawbacks related to that technology. For example, Anomaly
Intrusion Detection system has large number of false positive alerts. Furthermore, the dynamic
feature which is supposed to detect new forms of attacks, is very difficult in reality. In other
words, it detects only the modelled attacks and disregards any new invented attacks [15][16].
Even that the conceptual model of IDS in detecting modelled attacks seems to be realistic, it is far
from being achieved due to attackers’ abilities to change some information to deceive IDS such
as port number, sequence number or protocol indicator [15]. That trick can pass IDS and provide
the same result without being noticed. Furthermore, false positive alerts can cause overload in the
victim’s network. In reality, a hacker injects the target’s network with common modelled attacks
causing an IDS to generate detection alerts which regularly leads to overload the network. This
attacking strategy is utilized to hide the real breaching path to the systems by shuffling it with the
fake false positive alerts simply to avoid seizing the attention for the real attack [16].
2.3. Intrusion Detection and Prevention System (IDP)
One of the biggest drawbacks of IDS is the non-defendable mechanism in which it recognizes an
attack without any single action in return. IDP shares the same characteristics with IDS but
instead of generating alerts, IDP performs actions against the intrusion. As IDP inherits most of
the design specifications and concepts; consequently, it inherits the drawbacks of the IDS as well.
Moreover, there is an issue arises with IDP especially when it is standard with out-of-thebox
configuration. Precisely, this configuration causes to recognize a large scale of normal activities
as suspicious activities [17]. This issue is defined as false negative rate. Furthermore, it has been
reported that %99 of the reported alerts by IDS/IDP are not related to the security aspects
[17][18].
These limitations within the previous security systems have not reached to the satisfaction level
for the security industry and the need to further researches has become vital. As a result of that, a
Honeypot was introduced.
2.4. Honeypot
The founder of Honeypot, Lance Spitzner [19] defines it as “security resources whose value lies
in being probed, attacked, or compromised”. The fundamental concept of designing Honeypot is
to study hackers’ behaviours and assist the efforts made against hackers besides firewalls, IDS
and IDPs. The basic concept is very simply, a collection of resources that have no reliance on the
main operations of the original network and have no authorization mechanism and these
resources are made to be breached by hackers; thus, their behaviours and techniques are recorded
to gear up against them with proper security postures [20]. If that network does not get hacked, it
has no value for security researchers [19][20].
5. International Journal of Network Security & Its Applications (IJNSA) Vol.7, No.4, July 2015
5
Primary designed to study hackers’ behaviours and eventually has become a tool for deception or
an active supplement for Intrusion Detection Systems. One use of honeypot system is for
deception; the deception is mainly targeted hackers, luring them to valueless network for their
activities to be observed and recorded and these resources must appear realistic [21][22]. That
valueless information might be a simulation for computers with known vulnerabilities or
operating systems combined with network services with deliberate security holes [21][22]. Then,
it is a Honeypot system responsibility to record a hacker’s behaviour through background
applications, capturing the transferred packets between the hacker and the Honeypot system;
besides analysing and interpretation of the collected data [23]. The other use of honeypot system
and the most common is by engaging it with other security postures. In this situation, Honeypot
acts as a security supplement for IDS contributes to solve the major drawbacks in IDS which are
the false positive and false negative rates. IDS combined with Honeypot may cut the number of
false positive and false negative rates to %10 of the same production of IDS alone [20][23].
Usually setting up a honeypot forces the designer of the system to chose between two different
methodologies, Low interaction and high interaction. Low interaction means that the trap (the
deception) has limited resources due to the simulation process. Specifically, the simulated trap
may have the ability to interact with few numbers of connections at one time compared with the
actual capability of the real system [23]. This issue is one fine indicator for hackers that they have
been deceived. Moreover, honeypot logs are stored locally; thus, escalates the risk of tampering
logs file to serve hackers’ deeds [23]. Likewise for high interaction, a high interaction honeypot
has high cost and complicated configuration process in which if it has not configured probably, it
eventually causes a low efficiency and utilization for the trap [23].
Additionally, most of honeypot is set to work in one segment making it very easy for hackers to
detect them. Actually, the benefit gained from these traps is none. Hackers notice these traps and
avoid presenting their tools and methodologies for breaching which leaves honeypot useless [23].
These traps are given for hackers to play with and show their evil tools and methods for hacking.
In fact, hackers can detect these traps and continue to explore the vulnerabilities for one reason,
launching an attack from honeypot. This reflection attack works for hackers as a barrier saves
them from law enforcements and the third party may take the liability unless certain laws are
presented [22].
Furthermore, these traps have a huge disadvantage, which is the main indicator for the trap itself.
If it allows outbound connections to be made, they face the risk of being used as third party for
another attack. In contrast, blocking outbound connections is very fine indicator for the trap,
which makes it useless in many cases [20]. In addition, it is hard of honeypot to differentiate
between legitimate users and hackers. Actually, it misses any attacks that does not enter the trap
and goes directly to the victim’s system.
2.5. Related work main limitations
Despite the fact that the security solutions discussed above provide some level of security, there
are still limitation in addressing hacking. We Also found that these security solutions tend to
neglect the behaviour of hackers and find similar hacking methodology. We found that hacking
strategies come in different techniques and counting all the techniques is nearly impossible.We
have examined the hacker behaviour based on [24] and found that hacker actually executes some
6. International Journal of Network Security & Its Applications (IJNSA) Vol.7, No.4, July 2015
6
programs or tools that are classified under three categories. These categories are the prehacking
steps (Footprinting, Scanning and Enumeration). The main purpose of this article is to formally
and practically examine deeply the environment in which hacking takes place and the behaviour
of hackers and find the properties that are shared between most of hacking strategies.
Studying the behavior of hackers provide us with complete understanding of the way they launch
their attacks. “Think like a hacker” is the best way for security experts and researchers in future to
suggested new security solutions and avoid vulnerabilities or at least discover them in the small
time frame before hacker discovers it. Currently, the common security practice is based on
suggesting a new security solution for a specific hacking strategy after vulnerability is being
exploited; then, patched. See next figure for vulnerability lifecycle.
Figure 1: Vulnerability lifecycle for applications [25].
Moreover, hackers’ attitudes, ethical beliefs and cultures towards hacking are important factors
which widen a security experts’ knowledge and create better chances for security experts and
developers to be effective in the defensive line [26]. Furthermore, hackers have proven their
abilities with impressive outcomes via their hacking techniques acquired mostly from their
cultures. In fact, they intensively enrich their culture by exchanging the wealth of practice and
methods, which clearly have demonstrated their effectiveness [27].
Furthermore, There is considerable gap between the way the hackers and computer scientists gain
their skills and techniques creating better chances for hackers to continue and enrich their
cultures. As a result of that, studying hackers’ behaviors is essential to lead to future security
solutions with high resistance and actively effective against most hacking attempts, which is the
main aim for this article.
3. Communication In Network Infrastructures
Before we start examining the behaviour of hackers, the environment where hacking taking place
is important to be inspected.
The design of network infrastructures comes in different topologies and network technologies that
suit needs and requirements of organizations, which might forms complex design of network
infrastructures. Most of network infrastructures contain and not limited to common hardware and
software components that ensure the functionality. However, there are additional components for
7. International Journal of Network Security & Its Applications (IJNSA) Vol.7, No.4, July 2015
7
functionality and security purposes. The common network infrastructure components are: Hosts,
routers or switches, servers, cables, wireless routers, communication protocols, and network
services. We define the common infrastructure components (INF) as:
Setting up computer network with all services requires some H which stands for Host, where H >
0. Also, directing and managing the communicating with that network require RT or ST, where
RT > 0 and ST > 0; Note that RT stands for routers and ST stands for switches. Nevertheless, S is
a main element in term of functionality in any network which stands for servers; where S > 0.
Also, C is the actually physical connection between all hardware within most computer networks,
which stands for Cables. Moreover, P stands for intercommunication protocols, where P > 0. At
last, SE stands for services provided to users, where SE > 0.
The form of communication that occurs within INF is based on packets. The formation of
transmitted packets may differ based on deployed network protocols. Yet, the structure and
formation of these packets must be predefined. As a consequence, communication protocols were
defined. The main purpose of communication protocols is to facilitate the communication
between participants in which it defines the structure and formation of packet, such as TCP/IP
protocol for Internet.
Usually, packets are sent from source to destination hosts to satisfy an objective of the
communication. The objectives of transmitted packets might vary from a normal request of
webpage, to security breach. Nevertheless, counting all packets’ objectives is close to impossible.
From a security prospective, we categorize packets’ objectives into two main categories, which
are:
• A threat objective.
• None threat objective.
A threat objective appears when a request of the communication from a sender is intended to
breach into computer system of a receiver. Thus, all generated and delivered packets for hacking
purpose fall into the threat objective category. However, transmitted packets that generated for
functionality purposes such as requesting webpage fall into the none threat objective category.
So, the communication between two participants is initiated to satisfy an objective, which is the
objective of the transmitted packets. The communication between two participants appears when
there are packets delivered from the sender to receiver and vice versa. In another words, if one
participant does not send packets to the other participant, the communication in this case does not
appear. Such predefined communication procedure provides tremendous functionalities. Yet, with
great functionalities come communication threats.
8. International Journal of Network Security & Its Applications (IJNSA) Vol.7, No.4, July 2015
8
3.1. Communication risk
Hacking threats are illustrated in the basic form of the communication, which are in the
transmitted packets. Hacking happens in countless strategies based on deployed technologies in
nominated victims’ infrastructures. Nonetheless, most of hacking strategies heavily rely on
necessary information in which hacking is nearly impossible to be performed without it
(necessary information will be discussed in details in the following section).
The necessary information is obtained from the communication between hackers and their victims
via two main techniques which are: engagement and analysis.
3.1.1. Engagement
The engagement is a sequence of communication between two participants where one participant
sends packets to another participant, and receives responses; see the following figure.
Figure 1: Engagement
It is limited to; a sender sends packets to the receiver, and the receiver responses with packets to
the sender. Thus, when the sender is sending packets to the receiver and the receiver does not
respond, it is not considered engagement. So, the engagement is defined as follows:
Where n and n’, are the maximum number of sent and received packets required for the
communication objective. packet’1
, is the packet generated by the receiver, which is a response to
packet1
.
ENG is main requirement for current deployed technologies, which may become a highly risky
functionality especially for hacking strategies. Eliminating ENG is impossible; however,
controlling ENG between computers systems would eventually limit hacking risk that is
discussed is section 7.
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3.1.2. Analysis
Analysis is a process involves extracting information from transmitted packets. The analysis may
include extracting information transmitted through ENG between the hacker and their victim or
between legitimate users. The main purpose of analysis is to obtain the necessary information,
which is discussed in details in section 8.2. Generally, analysis process may vary from a simple to
complex processes depending on the required information for hacking strategy. Due to the
variation of hacking strategies and continuous emerging of new hacking strategies, counting all
analysis processes is impractical. However, this thesis focuses on analysis, as process that assists
hackers to obtain the necessary information. Hence, we define analysis as:
Where EXTRACT_NINF, stands for extracting necessary information from transmitted packets
between a hacker (which is the one who is performing the analysis process), and the victim.
The main requirement for analysis process is to know the structure and format of the transmitted
packets that is defined in section 8.2. There are many protocols that wildly used such as TCP/IP
protocol. Understanding how bits are organized to form packets is essential for any analysis
process that eases extracting necessary information from transmitted packets.
4. Hacking Strategies
Hacking objectives vary because of countless factors such as stealing money, creating political
issues, destroying repetition or just for fun. However, not all hacking attempts are successful in
reaching their objectives and counting all hacking objectives is impractical.
This paper focuses on successful hacking attempts. Therefore, we define a successful hacking
strategy (SHS) as a hacking strategy attempt where it satisfies its objective. SHS is number of
executed operations by hackers where it designed to satisfy its objectives.
SHSo, stands for number of executed successful hacking operations Where I = {1,2,3,4,5...n}.
The following subsection illustrates a case study of common SHS that is remote password
guessing attack on Windows systems. That case study highlights the necessary information of
most remote password guessing attach as for most SHSs.
4.1. Case Study: remote password guessing attack
Windows systems come with built-in security features; however, the main guard of accessing
Windows systems is still passwords. Thus, remote password guessing attack is one of the
common threats to Windows systems [24]. Remote password guessing is wildly used by hackers
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due to the simplicity of guessing and overturning authentication credential with high chance of
gaining unauthorized access [24]. Remote password guessing attacks come in many strategies
based on the type and version of the deployed windows systems.
The popular strategy is to target the Window file and print sharing services using Server Message
Block (SMB) protocol [24]. SMB is accessible via ports TCP 445 and 139. Another remote
password guessing attack path is by Microsoft Remote Procedure Call (MSPRC) on port TCP
135. For such attack, the hacker might use automate password guessing command called enum
with a specified target IP. The following is an example for enum command [24]:
Most of SHSs require necessary information in which it is impossible to choose or design suitable
hacking strategies. As the case of password guessing attack the hacker has chosen this SHS based
on the necessary information illustrated in the following section.
4.2. Necessary information
Necessary information is the mean need for any SHSs to take place. This information is essential
for SHSs. The necessary information is listed as: IP address of a victim’s system, operating
system that runs on the victim’s system, opening ports on the victim’s system and running
services on victim’s system. This subsection discusses the importance of necessary information
for SHSs with the use of the case study showed previously.
4.2.1. IP address
Generally, through normal ENG, packets are delivered from one host to another in shortest path
possible to assure packets delivery speed in most communication technologies. With current
technologies development the reliance on the IP address (IP) is important to assure that packets
are delivered to intended recipients.
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Consequently, IP address is necessary information for any ENG and SHSs. In the case study of
remote password guessing attack illustrated previously, the IP address (192.168.202.44) was
specified by pre-hacking step called scanning (scanning will be discussed in detail in section 5).
4.2.2. Operating system
The second step after specifying the IP address of the target system is identifying which operating
system (OS) that is deployed in that target system. Operating system holds responsibility of
managing most functionally. Security vulnerabilities vary based on the technical specification of
the deployed operating system. In another words, every operating system has different
vulnerabilities that are associated with it.
Thus, identifying which operating system that manages the target IP is necessary information for
any SHSs. Specifying the type and version of deployed operating system in the victim’s INF is
heavily relied on ANL the ENG between the hacker and victim.
Going back to the case study of remote password guessing attack, we notice that the hacker uses
(enum) command line that is suitable to target Windows system. Specifying the victim’s
operating system is done through scanning as well.
4.2.3. Running services and opening ports
Identifying what services (RS) are and in which ports (OP) they run on the victim’s system is also
necessary information for any SHSs. Services and opening ports from hackers’ prospective are
doors for their delivered packets in which it is impossible for them to enter such system without
identifying possible entrances to their nominated victims’ INFs.
Services are deployed to perform specific tasks in most operating system; thus, these services
may have vulnerabilities that associated with them, or might just give assistance to hackers to
enter the victim’s system. Based on the hacker technical skills and knowledge about deployed
technologies and software, they utilize these services and opening ports to their advantage and in
worst case accomplishing SHSs.
Going back to the case study of the remote password guessing attack, the hacker has effectively
identified the opening ports that are ports 445 and 139, and the running service on theses ports is
SMB through executing scanning operations.
The necessary information might appear basic for some security experts in which it is the
necessary information for most ENG. However, it is impossible for any ENG and SHSs to be
performed without such information. Hence, we define the necessary information (NI) as:
Most of sophisticated hackers perform three pre-hacking steps in order to obtain the NI and
additional information before choose or design hacking strategies. Usually, hacking strategies are
designed to suit victims’ system and finish up with SHSs.
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The three pre-hacking steps are: foot printing, scanning and enumeration. Such great deal of NI
and additional information is to be obtained from performing these three steps. However, NI is
obtained from performing scanning alone. This paper focuses on scanning as root of hacking in
which it provides NI for most SHSs. However, following subsections discuss foot printing and
enumeration as well to highlight the importance of scanning between foot printing and
enumeration.
5. Pre-Hacking Steps
Before hackers actually break in, most skilled hackers follow the same methodology. The
methodology consists of three crucial steps which are: footprinting, scanning and enumeration
[24]. These three steps must be performed by most experienced hackers, which give it the phrase
“The root of hacking”; see next figure. The following subsections formally examine every pre
hacking step.
Figure 2: The behaviour of hackers.
5.1. Footprinting
Footprinting is a crafted technique in gathering information [24]. Basically, it is related to
narrowing down the target of interest, investigating every entity related to the victim’s INF. The
hacker at this stage is trying to understand how the victim operates. They investigate the
interrelation between the victim and everything around it without any ENG between the victim
and hacker; In other words, no single packet is sent to the victim. For a successful focussed and
surgical hack, the hacker must harvest the wealth of information about every feature of the
organization's security postures [24].
Footprinting is a process, which involves execution of software operations specifically design to
satisfy footprinting main objectives. Thus, we define footprinting (F) is defined as:
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Fo, stands for footprinting operations, where I = {1,2,3,4,5,6…n}. The main aim of F is to end up
with a unique detailed profile (UP) of the target’s Internet, intranet [Info(in)], extranet [Info(ex)],
remote access [Info(ra)], business partners [Info(bp)], deployed protocols [Info(pt)] and general
information about security postures [Info(sp)] [24]. Thus, UP is defined as:
A skilled hacker can narrow their target to specific domain names, IP addresses, routers, subnets
and network blocks; starting from a selected victim and without a single packet being sent [24].
In F step, hackers investigate the interrelation between the victim’s INF and every entity that is
connected to it without sending a single packet to the victim with considerable time and effort
made by hackers. So, we define F property as:
After that, the hacker will proceed to the next step, which is scanning.
5.2. Scanning
By the previous step, the hacker obtains UP about their target. From that point, the hacker starts
sending packets to their victim’s system. Actually, the intention of developing the attack strategy
(scripts and tools) is yet to be determined. In fact, they look for the point of entry to the victim’s
system searching for proper paths to get inside the target’s system [24].
Scanning is the most critical pre-hacking step due the intrusiveness nature and critical
information gained from it. It is a set of executed operations developed specifically to satisfy the
scanning’s main objectives. So, we define scanning as:
So, stands for scanning operations, Where I = {1,2,3,4,5…n}. S rely on the output of F which is
UP, under the assumption that F are executed successfully and data contained in UP is sufficient
enough to start S.
5.2.1. Scanning objectives
S is the most crucial process compared with F and enumeration. At this stage, the hacker searches
for running services and in which ports they run and what the host that runs these services. S
objectives are determining target, operating system, running services and opening ports in the
intended INF. Hence, a successful execution of S operations means that the hacker has obtained
NI. The following subsections examine every objective and use S tools for remote password
guessing attack.
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• Determining the target:
Determining the target (DTT) is a number of executed operations that fall within the range of So.
Sophisticated hackers execute these operations to specific target within the intended INF.
Basically, having predefined target eases the enumeration step and developing SHSs. It is one of
the most critical steps since hackers cannot start probing without identifying which system they
target. We define DTT objective as:
Where IDENT_target stands for identification of the target system in the intended INF. Hackers
obtain the IP address of the victims’ INF by ANL the ENG.
Going back to the case study of remote password guessing attack, there are many tools that
identify which system is listening for incoming traffic (which system hacker should target);
however, the most common tool is network ping sweep using nmap command [24]. Nmap
command operates by sending specific type of traffic such as ICMP (internet Control Message
Protocol) to a list of IP addresses or network blocks of the specified victim and analyzing victim’s
replies. In another words, nmap sends ICMP packets to the list of IP addresses or network blocks
and waits for responses. The following example illustrates how nmap identifies the target system
[24].
The first objective of S in determining the IP addresses for the target system is accomplished. Via
one of S tool such as nmap, hacker at this stage has effectively identified the IP address of the
target system (192.168.1.44).
• Determining the operating system:
Every operating system requires technical specifications to execute and run applications on its
environment. Managing applications and services and associating ports to these applications and
services is one of the main functionality of operating systems. Thus, identifying operating (DOS)
system that runs on the target INF is critical part in developing SHSs. We define DOS objective
as:
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Where IDENT_OS, stands for identifying the operating system that manages victim’s INF. Going
back to the case study of password guessing attack, there are number of tools that are used to
identify the deployed operating system in the target’s server. Active stack fingerprinting is a
technology that identifies the deployed operating system based on IP stack implementation. Every
operating system interprets RFC guidance differently during implementing their TCP/IP stack
[24]. Thus, by spotting these differences, hacker can identify which the operating system they
deal with by the response type from the target system. One of these tools is nmap. The following
example illustrates how nmap identifies the deployed operating system [24].
TCP Sequence Prediction: Class=random positive increments
Difficulty=26590 (worthy challenge)
Remote operating system guess: Solaris 2.5, 2.51
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• Determining the running services:
The following objective of S after DOS is to determine running services (DSR) on the specified
target. The important of DSR is illustrated in identification of the listening ports and applications
that runs on these ports. Such great deal of information can be extracted by sophisticated hackers
from this step. So, we define DSR main objective as:
Where IDENT_APP, stands for identifying the running application and IDENT_SR stands for
identifying the running services on the intended INF. Going back to the case study of password
guessing attack, there is one widely used scanning tool that identifies the running services and
opening ports called netcat [24]. Netcat is a tool designed to perform port scanning on specific
target systems over TCP or UDP protocols. Netcat probes the selected target to determine which
service is in listening state. The following example illustrates how netcat command identifies the
running services and opening ports, which is SMB on port 139 [24].
The above examples of the case study of password guessing attack showed how S operations
provides NI about the nominated victim’s system. A remote password guessing attack is nearly
impossible to be accomplished without NI gained by the previous examples of S objectives. This
paper focuses on worst case in which the hacker has successful executed S and extracted the NI.
Thus, we refer to S as a successful process in which it ends up with NI. We define S objectives
(SOJ) as:
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5.2.2. Scanning properties
During S, hackers intensively ENG with their victim by sending and receiving packets.
Moreover, ANL the ENG to obtain NI, such as operating system information, requires broad
knowledge about deployed technologies where was the case of identifying OS type and version in
the previous case study. Thus, we define S properties (Sp) as:
The hacker at this point has defined all the windows and doors that can be routes for launching
attacks. Then, they perform the last step just before launching their attacks, which is enumeration.
The basic building block for most surgical SHSs relies heavily on the wealth of information
gained from S in which it is impossible to develop SHSs without the obtained NI
5.3. Enumeration
At the final stage, the hacker has effectively recognized opening ports and running services
preparing for hack. Before they form their SHS, they intensely probe the spotted services looking
for known weaknesses and discovering new routes [24]. Enumeration (E) is also a number of
executed operations by hackers. However, these operations are more intrusive than Fo and So.
However, the obtained information from enumeration is not critical as information gained from
So.
E is a process that includes active ENG and direct queries to the target’s system, giving it a higher
level of intrusiveness compared with S [24]. This process heavily relies on information gathered
from S. Thus, we define E objective as:
Basically the E objectives are mostly related to the identified applications on the intended INF.
The hacker in E step tries to probe the target to identify the make [Make (y, app, INF)] and model
[Model (y, app, INF)] of the spotted services. At the first glance, the hacker seeks for
misconfiguration of shared resources (for instance, unsecured share systems), user names as an
important factor for dictionary attacks and common security vulnerabilities related to the spotted
services such as remote buffer overflow for a web server [24]. E operations share similar
properties as S, which we define it as:
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6. S FOR NI
Developing SHSs require intensive knowledge about victims’ INFs. It does require deep
knowledge about the deployed technologies and security postures in victims’ INFs. Acquiring
knowledge requires successful completion of executed operations by hackers to specifically
extract NI from S and additional information from F and E to assist developing of SHSs.
The main aim of F is to reduce the scope of interest to specific IP addresses and domains.
Moreover, F is aimed to study how the victim operates and interrelation between the victim and
allied organizations. The amount of information gained by the hacker form F encloses
information about internet, intranet, remote access and extranet. Then, the hacker proceeds to
next step, which is S [24].
S is the most critical pre-hacking steps because of the NI obtained from it. The hacker at this
stage tries to identify points of entry of the victim’s INF. Successful execution of sophisticated S
may identify which system is listing for incoming traffic. Although, it can identify the running
services on the specified victim’s system and deployed operating system. Such great deal of
information extracted from successful execution of S which will limit hackers use for specific
tools, scripts and applications to that specific operating system, services, listening system. Then,
the hacker completes gathering additional information by perfuming E [24].
E operations are considered most intrusive compared with S. However, the S is more critical
because of the NI gained from successful execution of So. Information gained from E is mainly to
specify make and model of installed application on the victim’s system. This information won’t
be possible to gain without identifying the listening system, the operating system that runs on
victim’s system and the running services and opening ports.
Hence, S is the most critical pre-hacking step in which it provide NI to be essential factor for any
SHS. This thesis considers the worst case, which assumes that S is executed successfully, and the
NI is gained from execution of S. Thus we define the relation between S and NI as follows:
7. S AND SHS
Based on the information acquired from S, the hacker at this stage develops a suitable SHS to
break into their victim’s system. Counting SHSs is impractical. The sophistication in hacking
techniques and the limitation associated with current security solutions escalate the success rate
for many hacking attempts. However, most of experienced hackers perform S in order to break
into a system.
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S is performed to accomplish a great task, acquiring NI about the victims’ systems. Every SHS
requires specific information about how victims operate and what the deployed technologies in
victims’ INF, without this information developing hacking strategies is nearly impossible. So, we
define the relation between NI and SHS as:
Communication between hackers and victims comes in form of packets. Packets are sent to
victims by hackers and vice versa. These packets are impossible to deliver without specifying the
IP address on the victim’s system. Although, data presents in transformed packet are generate by
scripts or tools designed specifically to accomplish specific function on the victim’s system. So,
without knowing the open ports, services running on these ports and operating system,
developing specific tools and script of data forming on the transferred packets is not possible.
Thus, SHS is addressed via deterring S operations. Hence, we define the importance of S to
address SHS as follows:
Nevertheless, it is important to highlight S properties in order to address SHS. So, the following
section discusses S properties, which are ENG and ANL.
8. Deterring Shs Via Targeting S Properties
As it has been discussed previously in this paper, SHS requires NI in which it is impossible for
SHS to be selected or implemented in the first place without it. NI includes known exactly the IP
address of the victim’s system, the deployed operating system in the specified victim, running
services and in which ports they run on the victim’s system. The NI is obtained when the hacker
successful executes S. Thus, the main purpose of S is to end up with NI.
In addition, S requires some technical specification which is not possible to perform S and some
network functionalities without them. These technical specification where illustrated previously
in this paper as communication risk (section 3.1). These technical specifications are defined in
section 5.2 as S properties. These properties are ENG and ANL. The following subsections
discuss ENG and ANL in more details with the use of case study of remote password guessing
attack.
8.1. ENG
ENG is sequence of communication between the hacker and their victim. It occurs when the
hacker is sending threat objective packets to the victim and victim replies back to them with
packets. Packets sent from the hacker are threat objective packets, which leads to NI when the
hacker successful executes S.
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In some cases, ENG does not occur between the hacker and their victim such as when the victims
system is switch of or hanged. In this thesis, no ENG means that at least one condition of ENG is
not occurring.
When the hacker is in no ENG condition, it means one of the two following conditions:
• The hacker is sending threat objective packets to the victim. The victim is not replying
back to the hacker.
• The hacker is sending threat objective packets to the victim and packets are dropped or
not delivered during the ENG.
The following figure illustrated the conditions of no ENG.
Figure 3: None ENG.
Hence, we define none ENG as:
In another words, ¬ENG is occurring when the nominated victim does not reply to the hacker.
Through successful execution of S, the replied packets from the victim to hacker hold NI.
Therefore, when hacker does not receive replied packets from the victim, obtaining NI is nearly
impossible. We defined the relation between none ENG and S as follows:
The following subsections illustrate the importance of ENG and ANL with the use of remote
password guessing attack.
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8.1.1. ENG for DTT
Going back to the case study of password guessing attack described previously, in the first
objective of S which is DTT, the hacker sends threat objective packets to block of IP addresses to
determine which host is alive. Identifying the exact IP address to target requires from the victim
to reply to the hacker. The following figure illustrates how hackers identify which system to
target.
Figure 5: ENG during DTT.
DTT IP address is essential for most of the communication within INF. It is not possible hosts to
communicate without sending and receiving packets. Thus, as it has been illustrated in the
previous figure the hacker has effectively identified the IP address of the target INF by receiving
a reply from (192.168.1.44).
8.1.2. ¬ ENG for DTT
When ENG is not satisfied, the possibility of identifying the actual IP address of the target system
is impossible. ¬ENG property means that the hacker sends threat objective packets, which is the
case of DTT and receives none replies. The following figure illustrates how the hacker sends
packets to block of IP addresses and receives no reply.
Figure 5: ¬ENG during DTT.
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In this case identifying which system to target is not possible, since DTT heavily relies on
receiving replied packets from the victims. Thus the expected output after execution nmap
command line for DTT is:
8.1.3. ENG for DOS
DOS is critical information since SHSs vary based on the type and version of OS that manages
the victim’s system. Remote password guessing attack is commonly associated with Windows
system. The reason behind that is Windows system is still placing reliance on passwords as main
guard to for access. Hence, remote password guessing attack is effective hacking strategies
directed to Windows system. The following figure shows how the hacker ENG with the victim
and successful identified the OS.
Figure 6: ENG for DOS.
As it has been shown in the previous figure, the hacker required ENG property in order to obtain
the type and version of OS. It is impossible to obtain OS type and version without receiving
replied packet with required information to the hacker.
8.1.4. ¬ENG for DOS
Let assume that hacker has effectively DTT of the victim, the following step of S objective is
DOS. ENG property is important through DOS of the target system. It is impossible to DOS
without the presence of ENG between the hacker and their victim. The following figure illustrates
execution of nmap command line for DOS when ENG is not satisfied.
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Figure 7: ¬ ENG for DOS.
The expected output of executing nmap without satisfying ENG property would appear to the
hacker as:
8.1.5. ENG for DSR
Information is DSR. DSR is essential as DTT and DOS. Vulnerabilities within INF may appear
from countless factors and running services is one of them. ENG is critical for DSR since it
heavily depend on the replied packets that contain information about running services and
opening ports. The following figure highlights the importance of ENG for DSR of remote
password guessing attack.
Figure 7: ENG for DSR.
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8.1.6. ¬ENG for DSR
Let assume that the hacker has effectively DTT and DOS of the target victim. The last step is to
obtain one final NI, which is DSR. The same concept of DTT and DOS of the remote password
guessing attack is applied also on DSR. The following figure illustrate how important is ENG
property for DSR.
Figure 8: ¬ENG for DSR.
The expected output of running netcat command line would appear as:
8.2 ANL
ANL is a process consists of collecting communication traffic, which is in form of packets and
extracts NI information and additional information from these packets. ANL is critical step
formost SHS. The collected packets may be obtained from the ENG between the hacker and their
victim or from ENG between two or more legitimate users. ANL is the second S properties in
which, performing a successful S that assists hackers with NI is impossible to be accomplished
without ANL.
Extracting NI information from transmitted packets requires from hackers to know the protocol
that defines structures and format of bits of packets. There are many protocols that widely used
for communications such TCP/IP protocol or OSI seven layers network protocol. In order for two
computers systems to communicate, the structure (ks) and formation (kf) of bit within packets
must be agreed on or ENG is not possible. Hence, we define ANL requirements (ANLr) as:
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Packets structure and format is critical requirement for the ANL process since it is impossible of
hackers to understand the information presents in the transmitted packets, which is applied to the
use of cryptography. So, when ks or kf are not satisfied, that leads to ¬ANL. We define the
relationship between S and ANL as:
The following subsection illustrates the importance of ANL for every S objective.
8.2.1. ANL for DTT
Attack described previously, the hacker sends threat objectives packets to block of IP addresses
and waits for the reply, which identifies the actual IP address of the victim. Identifying the actual
IP address requires that the hacker knows the deployed protocol.
Since the hacker and victim are using TCP/IP protocol, the structure and formation of the packets
are already known for the hacker. ANL the packets to extract IP address in this case is simple
since the source and destination IPs are presented clearly in the transmitted packet, see the
following figure.
Figure 9: ANL for DTT.
8.2.2. ¬ ANL for DTT
Extracting NI from unknown packet format become and complex task for hackers. For nmap
command line as an example the source and destination are presented in most network protocols
that is impossible for packets to be delivered from one host to another. The following figure
illustrates the ENG between the hacker and victim without an agreed network protocol.
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Figure 10: ¬ ANL for DTT.
However, the hacker can manually identify the target IP address by analyzing the source IP
address in the sent packet but it will consume considerable time.
8.2.3. ANL for DOS
Extracting information about the deployed operating system in the victim’s INF is more complex
than DTT. This process requires ANL sequences of replied packets from the victim, in which
they may presents a clue about the victims implementation such as interprets RFC guidance for
TCP/IP. The following figure illustrates the importance of ANL for DOS. To simplify the ANL
process we assume that OS information is included in data field of TCP/IP protocol.
Figure 11: ANL for DOS.
8.2.4. ¬ ANL for DOS
ANL the packets to obtain DOS about the victim’s system is complex, however, there are great
deal of tools and scripts that assist hackers. Nevertheless, these tools require predefined and
known protocol such as TCP/IP or OSI network layer protocols. Thus, the expected result of
running nmap command line for the case study may appear as:
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Difficulty=26590 (Good luck!)
Remote operating system guess: No exact OS match for host
8.2.5. ANL for DSR
The importance for ANL for DSR is not less than DTT and DOS. DSR is also complex process of
ANL sequence of packets between the hacker and victim. A tool such as netcat ENGs with the
victim and tries all possible ports and services to see which packets they receive from the victim
which is the main indicator of running services and opening ports, see the following figure.
Figure 21: ANL for DSR.
8.2.6. ¬ ANL for DSR
None satisfaction of ANL for DSR makes extracting NI a complex task. The importance of ANL
to DSR is illustrated in the expected output of running netcat command line for the purpose of
obtaining DSR.
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8.3 Summary of ENG & ANL
The following table summarizes the pervious techniques and expected results from running some
S tools while ENG and ANL are satisfied and none satisfied to illustrates the importance of these
properties.
Table 1: Satisfying and none satisfying of S properties.
9. Conclusion
SHS is one common threat for most INFs. SHSs differ based on countless factors such as the type
of deployed technologies including hardware and software. However, most of SHSs require
common NI. The possibility of developing SHS without NI is nearly none which includes, the IP
address of the victim INF, the operating system that manages the victim’s INF, the running
services on victim’s INF and the opening ports in the victim’s INF.
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NI can be obtained by performing S. S is one of pre-hacking steps performed by most hackers for
one purpose that is acquiring NI. S requires two essential properties in which it impossible to
obtain NI without them. The S properties are: ENG and ANL.
This paper examines the possibility of addressing SHS by designing a secure system that
addresses S properties (ENG, ANL). Target ENG and ANL to deter S which leads to a disclosure
of the NI from being obtained by hackers. Then, the possibility of developing SHS is almost
none.
There are great challenges for security experts and researchers towards addressing hacking
strategies. However, we believe that security solutions should be focused on controlling ENG and
eliminating the possibility to ANL.
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