Recently, long-term, advanced cyber-attacks targeting a specific enterprise or organization have been occurring again. These attacks occur over a long period and bypass detection by security systems unlike the existing attack pattern. For such reason, they create problems such as delayed real-time response and detection after damages have already been incurred. This paper introduces the design of technology that applies real-time network traffic monitoring to detect unknown functional cyber-attack on the network. Specifically, the algorithm was verified and evaluated in terms of performance in an actual commercial environment. Cyber-attack detection performance is expected to be improved by enhancing the algorithm and processing large volumes of traffic
Mobile Ad hoc Networks (MANETs) are wireless networks consisted of mobile free nodes that can move anywhere at any time without the need to any fixed infrastructure or any centralized administration. In this category of networks existing nodes must rely on each other to play the role of routers or switches instead of using central ones. The self-organized nature of such environments made MANETs vulnerable against many security threats. As a result, providing security requirements in MANETs is one of the most interesting challenges in such a network. In this group of networks, the use of cryptographic solutions is one of the most interesting security issues. The importance of this scientific area in MANETs is more drastic by considering that mentioned schemes must be lightweight enough to be appropriate for resource constrained platforms in such environment. This paper has tried to represent the position of cryptographic issues in MANETs. Moreover, security issues in mobile Ad hoc networks beside of different classes of public key cryptosystems have been introduced.
Analytical survey of active intrusion detection techniques in mobile ad hoc n...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
The spread of information networks in communities and organizations have led to a daily huge volume of information exchange between different networks which, of course, has resulted in new threats to the national organizations. It can be said that information security has become today one of the most challenging areas. In other words, defects and disadvantages of computer network security address irreparable damage for enterprises. Therefore, identification of security threats and ways of dealing with them is essential. But the question raised in this regard is that what are the strategies and policies to deal with security threats that must be taken to ensure the security of computer networks? In this context, the present study intends to do a review of the literature by using earlier researches and library approach, to provide security solutions in the face of threats to their computer networks. The results of this research can lead to more understanding of security threats and ways to deal with them and help to implement a secure information platform.
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 NODE RECOVERY USING DYNAMIC PATH ROUTINGNishanth Gandhidoss
This document describes a project report submitted for the degree of Bachelor of Technology in Information Technology. The report focuses on network intrusion detection and node recovery using dynamic path routing. It was submitted by three students - Nishanth G., Sudharshan N., and Surya Krishnan R. - to Sri Venkateswara College of Engineering in partial fulfillment of their degree requirements. The document includes sections on acknowledgements, abstract, contents, introduction, literature survey, system design, network topology, network intrusion detection and prevention, node recovery, source anonymity, dynamic path routing, results and discussions, and conclusions. It aims to address privacy and security issues in networks through techniques like encryption, evidence collection, risk assessment
Intrusion detection and anomaly detection system using sequential pattern miningeSAT Journals
Abstract
Nowadays the security methods from password protected access up to firewalls which are used to secure the data as well as the networks from attackers. Several times these types of security methods are not enough to protect data. We can consider the use of Intrusion Detection Systems (IDS) is the one way to secure the data on critical systems. Most of the research work is going on the effectiveness and exactness of the intrusion detection, but these attempts are for the detection of the intrusions at the operating system and network level only. It is unable to detect the unexpected behavior of systems due to malicious transactions in databases. The method used for spotting any interferes on the information in the form of database known as database intrusion detection. It relies on enlisting the execution of a transaction. After that, if the recognized pattern is aside from those regular patterns actual is considered as an intrusion. But the identified problem with this process is that the accuracy algorithm which is used may not identify entire patterns. This type of challenges can affect in two ways. 1) Missing of the database with regular patterns. 2) The detection process neglects some new patterns. Therefore we proposed sequential data mining method by using new Modified Apriori Algorithm. The algorithm upturns the accurateness and rate of pattern detection by the process. The Apriori algorithm with modifications is used in the proposed model.
Keywords — Anomaly Detection, Modified Apriori Algorithm, Misuse detection, Sequential Pattern Mining
Comparative Study on Intrusion Detection Systems for Smartphonesiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Intrusion Detection System (IDS): Anomaly Detection using Outlier Detection A...Drjabez
This document describes a proposed approach for anomaly detection in intrusion detection systems using outlier detection. It begins with background on intrusion detection systems and issues with existing approaches. It then presents the proposed two-stage approach using outlier detection: 1) Training with large normal datasets in a distributed storage environment, and 2) Testing intrusion datasets to compute an error value compared to the trained model. If the error value exceeds a threshold, the test data is flagged as anomalous. Experimental results on network packet datasets demonstrate the approach can effectively identify anomalies.
Mobile Ad hoc Networks (MANETs) are wireless networks consisted of mobile free nodes that can move anywhere at any time without the need to any fixed infrastructure or any centralized administration. In this category of networks existing nodes must rely on each other to play the role of routers or switches instead of using central ones. The self-organized nature of such environments made MANETs vulnerable against many security threats. As a result, providing security requirements in MANETs is one of the most interesting challenges in such a network. In this group of networks, the use of cryptographic solutions is one of the most interesting security issues. The importance of this scientific area in MANETs is more drastic by considering that mentioned schemes must be lightweight enough to be appropriate for resource constrained platforms in such environment. This paper has tried to represent the position of cryptographic issues in MANETs. Moreover, security issues in mobile Ad hoc networks beside of different classes of public key cryptosystems have been introduced.
Analytical survey of active intrusion detection techniques in mobile ad hoc n...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
The spread of information networks in communities and organizations have led to a daily huge volume of information exchange between different networks which, of course, has resulted in new threats to the national organizations. It can be said that information security has become today one of the most challenging areas. In other words, defects and disadvantages of computer network security address irreparable damage for enterprises. Therefore, identification of security threats and ways of dealing with them is essential. But the question raised in this regard is that what are the strategies and policies to deal with security threats that must be taken to ensure the security of computer networks? In this context, the present study intends to do a review of the literature by using earlier researches and library approach, to provide security solutions in the face of threats to their computer networks. The results of this research can lead to more understanding of security threats and ways to deal with them and help to implement a secure information platform.
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 NODE RECOVERY USING DYNAMIC PATH ROUTINGNishanth Gandhidoss
This document describes a project report submitted for the degree of Bachelor of Technology in Information Technology. The report focuses on network intrusion detection and node recovery using dynamic path routing. It was submitted by three students - Nishanth G., Sudharshan N., and Surya Krishnan R. - to Sri Venkateswara College of Engineering in partial fulfillment of their degree requirements. The document includes sections on acknowledgements, abstract, contents, introduction, literature survey, system design, network topology, network intrusion detection and prevention, node recovery, source anonymity, dynamic path routing, results and discussions, and conclusions. It aims to address privacy and security issues in networks through techniques like encryption, evidence collection, risk assessment
Intrusion detection and anomaly detection system using sequential pattern miningeSAT Journals
Abstract
Nowadays the security methods from password protected access up to firewalls which are used to secure the data as well as the networks from attackers. Several times these types of security methods are not enough to protect data. We can consider the use of Intrusion Detection Systems (IDS) is the one way to secure the data on critical systems. Most of the research work is going on the effectiveness and exactness of the intrusion detection, but these attempts are for the detection of the intrusions at the operating system and network level only. It is unable to detect the unexpected behavior of systems due to malicious transactions in databases. The method used for spotting any interferes on the information in the form of database known as database intrusion detection. It relies on enlisting the execution of a transaction. After that, if the recognized pattern is aside from those regular patterns actual is considered as an intrusion. But the identified problem with this process is that the accuracy algorithm which is used may not identify entire patterns. This type of challenges can affect in two ways. 1) Missing of the database with regular patterns. 2) The detection process neglects some new patterns. Therefore we proposed sequential data mining method by using new Modified Apriori Algorithm. The algorithm upturns the accurateness and rate of pattern detection by the process. The Apriori algorithm with modifications is used in the proposed model.
Keywords — Anomaly Detection, Modified Apriori Algorithm, Misuse detection, Sequential Pattern Mining
Comparative Study on Intrusion Detection Systems for Smartphonesiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Intrusion Detection System (IDS): Anomaly Detection using Outlier Detection A...Drjabez
This document describes a proposed approach for anomaly detection in intrusion detection systems using outlier detection. It begins with background on intrusion detection systems and issues with existing approaches. It then presents the proposed two-stage approach using outlier detection: 1) Training with large normal datasets in a distributed storage environment, and 2) Testing intrusion datasets to compute an error value compared to the trained model. If the error value exceeds a threshold, the test data is flagged as anomalous. Experimental results on network packet datasets demonstrate the approach can effectively identify anomalies.
The Next Generation Cognitive Security Operations Center: Network Flow Forens...Konstantinos Demertzis
A Security Operations Center (SOC) can be defined as an organized and highly skilled team that uses advanced computer forensics tools to prevent, detect and respond to cybersecurity incidents of an organization. The fundamental aspects of an effective SOC is related to the ability to examine and analyze the vast number of data flows and to correlate several other types of events from a cybersecurity perception. The supervision and categorization of network flow is an essential process not only for the scheduling, management, and regulation of the network’s services, but also for attacks identification and for the consequent forensics’ investigations. A serious potential disadvantage of the traditional software solutions used today for computer network monitoring, and specifically for the instances of effective categorization of the encrypted or obfuscated network flow, which enforces the rebuilding of messages packets in sophisticated underlying protocols, is the requirements of computational resources. In addition, an additional significant inability of these software packages is they create high false positive rates because they are deprived of accurate predicting mechanisms.
For all the reasons above, in most cases, the traditional software fails completely to recognize unidentified vulnerabilities and zero-day exploitations. This paper proposes a novel intelligence driven Network Flow Forensics Framework (NF3) which uses low utilization of computing power and resources, for the Next Generation Cognitive Computing SOC (NGC2SOC) that rely solely on advanced fully automated intelligence methods. It is an effective and accurate Ensemble Machine Learning forensics tool to Network Traffic Analysis, Demystification of Malware Traffic and Encrypted Traffic Identification.
1. Cyber Ethics and Cyber Crime
2. Security in Social Media & Risk of Child Internet
3. Social media in Schools and photo privacy
4. Risk of OSNs and Security, Privacy of Facebook
5. Risk and Security of Social Networking site Facebook and Twitter
6. Risk analysis of Government and Online Transaction
Report: Study and Implementation of Advance Intrusion Detection and Preventio...Deepak Mishra
This document discusses building an intrusion detection system that combines network-based and log-based detection. It proposes using the Security Onion distribution and its included tools like Snort, Sguil, Squert and OSSEC. It describes configuring Security Onion sensors to monitor network traffic and logs, storing alerts in databases, and using the management consoles to analyze alerts. The goal is to create a comprehensive security monitoring platform through centralized log management and correlation of network and host-based events.
A Collaborative Intrusion Detection System for Cloud Computingijsrd.com
Cloud computing is a computing paradigm that shifts drastically from traditional computing architecture. Although this new computing paradigm brings many advantages like utility computing model but the design in not flawless and hence suffers from not only many known computer vulnerabilities but also introduces unique information confidentiality, integrity and availability risks as well due its inherent design paradigm. To provide secure and reliable services in cloud computing environment is an important issue. To counter a variety of attacks, especially large-scale coordinated attacks, a framework of Collaborative Intrusion Detection System (IDS) is proposed. The proposed system could reduce the impact of these kinds of attacks through providing timely notifications about new intrusions to Cloud users' systems. To provide such ability, IDSs in the cloud computing regions both correlate alerts from multiple elementary detectors and exchange knowledge of interconnected Clouds with each other.
Intrusion Detection System (IDS) is meant to be a software application which monitors the network or system activities and finds if any malicious operations occur. Tremendous growth and usage of internet raises concerns about how to protect and communicate the digital information in a safe manner. Nowadays, hackers use different types of attacks for getting the valuable information. Many intrusion detection techniques, methods and algorithms help to detect these attacks. This main objective of this paper
is to provide a complete study about the definition of intrusion detection, history, life cycle, types of intrusion detection methods, types of attacks, different tools and techniques, research needs, challenges and
applications.
IoT Network Attack Detection using Supervised Machine LearningCSCJournals
The use of supervised learning algorithms to detect malicious traffic can be valuable in designing intrusion detection systems and ascertaining security risks. The Internet of things (IoT) refers to the billions of physical, electronic devices around the world that are often connected over the Internet. The growth of IoT systems comes at the risk of network attacks such as denial of service (DoS) and spoofing. In this research, we perform various supervised feature selection methods and employ three classifiers on IoT network data. The classifiers predict with high accuracy if the network traffic against the IoT device was malicious or benign. We compare the feature selection methods to arrive at the best that can be used for network intrusion prediction.
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 Overview of Intrusion Detection and Prevention Systems (IDPS) and Security...IOSR Journals
Technical solutions, introduced by policies and implantations are essential requirements of an
information security program. Advanced technologies such as intrusion detection and prevention system (IDPS)
and analysis tools have become prominent in the network environment while they involve with organizations to
enhance the security of their information assets. Scanning and analyzing tools to pinpoint vulnerabilities, holes
in security components, unsecured aspects of the network and deploying of IDPS technology are highlighted.
An Overview of Intrusion Detection and Prevention Systems (IDPS) and security...Ahmad Sharifi
This document provides an overview of intrusion detection and prevention systems (IDPS). It discusses the types of threats, vulnerabilities, and intrusions that IDPS aim to address. It describes the differences between network-based and host-based IDPS, as well as signature-based and anomaly-based detection methods. The document also outlines some key capabilities of IDPS, such as identifying hosts, operating systems, applications, and network characteristics. It notes limitations of IDPS, including inability to analyze encrypted traffic. Finally, it emphasizes the importance of properly deploying and managing IDPS according to organizational needs and policies as part of a layered defense-in-depth security strategy.
“AI techniques in cyber-security applications”. Flammini lnu susec19Francesco Flammini
The document discusses using artificial intelligence techniques like Bayesian networks and event trees for cybersecurity applications. It describes how these techniques can help address issues with security operations centers being overwhelmed by too much information from various sensors and systems. Bayesian networks and event trees can help fuse data from different sources to detect threats more effectively. The document provides examples of how Bayesian networks can be built using historical threat data and customized for specific organizations. It also discusses how these models can be updated dynamically based on real-time data from systems.
Cyber security involves protecting networks, computers, programs, and data from damage, unauthorized access, and impairment. It includes securing physical access to hardware and protecting against network attacks, data and code injection, and misuse by operators. As cyber attacks increase daily, nations face higher risks, so cyber security is a growing priority. Hacking, child pornography, copyright infringement, and other cybercrimes harm people's and nations' security and financial well-being. Effective cyber security incorporates measures across applications, information, networks, and disaster recovery to detect and prevent illegal computer use and ensure confidentiality, integrity, and availability of data. National cyber security policies aim to safeguard information systems and critical infrastructure through public-private cooperation and awareness
The document discusses securing industrial IoT (IIoT) applications and devices. It identifies three main attack surfaces: the application, the device, and the network. To secure the application, it recommends using secure APIs, complex passwords, limiting API calls, and continuous deployment. For devices, it suggests securing the SIM card, physical device, and device software through measures like embedded SIMs, firmware updates, and remote management. Finally, it advises limiting voice, SMS, and data services on networks to reduce vulnerabilities. Overall, the document stresses the importance of prioritizing security for IIoT given the increasing threats to connected industrial systems.
Survey of apt and other attacks with reliable security schemes in manetijctet
This document summarizes security threats and challenges in mobile ad hoc networks (MANETs). It discusses advanced persistent threats (APTs) which aim to stealthily infiltrate networks to steal data. APTs use techniques like spear phishing and malware to infect systems. Malware types discussed include viruses, worms, trojans, and bots. The document also outlines requirements for securing MANETs against APTs, such as protecting devices and browsers from exploitation. Finally, it analyzes security issues in routing for MANETs and categorizes common routing protocols.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Security Issues and Challenges in Internet of Things – A ReviewIJERA Editor
The Internet of Things (IoT) alludes to the continually developing system of physical articles that component an
IP address for web availability, and the correspondence that happens between these items and other Web
empowered gadgets and frameworks. The security issues of the Internet of Things (IoT) are straight forwardly
identified with the wide utilization of its framework. IoT securities and enhancing the design and several
elements of this work showcases various security issues with respect to IoT and thinks of solutions for the issues
under the advancements included. Here we are going to do a study of all the security issues existing in the
Internet of Things (IoT) alongside an examination of the protection issues that an end-client might confront as
an outcome of the spread of IoT. Most of the overview is centred around the security emerging out of the data
trade innovations utilized as a part of Internet of Things. As a piece of IoTs, genuine concerns are raised over
access of individual data relating to gadget and individual protection. This review tells about the security and
protection issues of IoT.
The document discusses cyber security standards and threats in industrial networks. It describes the IEC 62443 standard for securing industrial networks and discusses levels of security it provides. The document also summarizes WoMaster's cyber security solutions, including secure remote access, multi-level authentication, ACLs, DHCP snooping, and DDoS prevention in line with IEC 62443 requirements to secure industrial IoT networks. WoMaster's solutions integrate software and hardware for comprehensive protection against cyber threats.
IRJET- Local Security Enhancement and Intrusion Prevention in Android Dev...IRJET Journal
This document proposes a local security enhancement and intrusion prevention system for Android devices. It summarizes existing host-based intrusion detection systems and behavior-based intrusion prevention systems for Android smartphones. The proposed system uses net flow based clustering to identify anomalies and correlates with host-based features to detect malware intrusions. The goal is to provide versatile security for Android smartphones by detecting a wide range of attacks, including denial of service attacks and probing. The system aims to detect new attacks as well.
IRJET - Cyber Security Threats and Measures in Context with IoTIRJET Journal
This document discusses cyber security threats related to Internet of Things (IoT) devices and proposes measures to address them. It begins with an introduction to the growth of IoT and the security risks it poses as more data is shared through interconnected devices. Common cyber attacks on IoT devices are then explored, such as attacks exploiting default passwords and lack of updates. Specific security issues for wireless sensor networks, RFID technology, and the application layer are also outlined. The document proposes developing calibrated security measures for IoT devices to provide authentication, integrity, and confidentiality of information flows. A case study demonstrates how identifying and verifying users could help reduce the risk of fraud.
An Analytical Study on Attacks and Threats in Cyber Security and its Evolving...ijtsrd
In today’s dynamic and technologically advanced world, the Internet has become one of the most innovative and rapidly growing technologies. With its rise, it has also become vulnerable to a significant increase in occurrences of cyber attacks, with detrimental effects. Typically, these cyber attacks are targeted at accessing, manipulating, or damaging confidential data, extracting users money, or extorting an organization’s or user’s private information. Sensitive information, whether intellectual property, financial data, confidential information, or other forms of private data are exposed to unauthorized access or disclosure, which can have adverse consequences. Protecting data has become one of the greatest obstacles today as cyber attacks are constantly escalating. Along with the growth of internet services and the advancement of information technology, the importance of cybersecurity is crucial. Cybersecurity aims to ensure that the security interests of the company and users assets are protected and preserved against relevant cyber threats in the digital world. The data and confidentiality of computing assets pertaining to the network of an organization are protected by cybersecurity. This paper mainly focuses on threats and issues in cybersecurity facing modern technologies. It also focuses on the latest cybersecurity strategies and developments that are transforming the face of cybersecurity. Omkar Veerendra Nikhal "An Analytical Study on Attacks and Threats in Cyber Security and its Evolving Trends on Modern Technologies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38195.pdf Paper URL : https://www.ijtsrd.com/computer-science/computer-security/38195/an-analytical-study-on-attacks-and-threats-in-cyber-security-and-its-evolving-trends-on-modern-technologies/omkar-veerendra-nikhal
Claves língüística para comprender lecturas en inglésRoberto Alvarado
Mapa Mental creado con MindMap9 para explicar el uso de las Claves língüística para comprender lecturas en inglés: grafofónicas, semánticas, sintácticas y pragmáticas.
The Next Generation Cognitive Security Operations Center: Network Flow Forens...Konstantinos Demertzis
A Security Operations Center (SOC) can be defined as an organized and highly skilled team that uses advanced computer forensics tools to prevent, detect and respond to cybersecurity incidents of an organization. The fundamental aspects of an effective SOC is related to the ability to examine and analyze the vast number of data flows and to correlate several other types of events from a cybersecurity perception. The supervision and categorization of network flow is an essential process not only for the scheduling, management, and regulation of the network’s services, but also for attacks identification and for the consequent forensics’ investigations. A serious potential disadvantage of the traditional software solutions used today for computer network monitoring, and specifically for the instances of effective categorization of the encrypted or obfuscated network flow, which enforces the rebuilding of messages packets in sophisticated underlying protocols, is the requirements of computational resources. In addition, an additional significant inability of these software packages is they create high false positive rates because they are deprived of accurate predicting mechanisms.
For all the reasons above, in most cases, the traditional software fails completely to recognize unidentified vulnerabilities and zero-day exploitations. This paper proposes a novel intelligence driven Network Flow Forensics Framework (NF3) which uses low utilization of computing power and resources, for the Next Generation Cognitive Computing SOC (NGC2SOC) that rely solely on advanced fully automated intelligence methods. It is an effective and accurate Ensemble Machine Learning forensics tool to Network Traffic Analysis, Demystification of Malware Traffic and Encrypted Traffic Identification.
1. Cyber Ethics and Cyber Crime
2. Security in Social Media & Risk of Child Internet
3. Social media in Schools and photo privacy
4. Risk of OSNs and Security, Privacy of Facebook
5. Risk and Security of Social Networking site Facebook and Twitter
6. Risk analysis of Government and Online Transaction
Report: Study and Implementation of Advance Intrusion Detection and Preventio...Deepak Mishra
This document discusses building an intrusion detection system that combines network-based and log-based detection. It proposes using the Security Onion distribution and its included tools like Snort, Sguil, Squert and OSSEC. It describes configuring Security Onion sensors to monitor network traffic and logs, storing alerts in databases, and using the management consoles to analyze alerts. The goal is to create a comprehensive security monitoring platform through centralized log management and correlation of network and host-based events.
A Collaborative Intrusion Detection System for Cloud Computingijsrd.com
Cloud computing is a computing paradigm that shifts drastically from traditional computing architecture. Although this new computing paradigm brings many advantages like utility computing model but the design in not flawless and hence suffers from not only many known computer vulnerabilities but also introduces unique information confidentiality, integrity and availability risks as well due its inherent design paradigm. To provide secure and reliable services in cloud computing environment is an important issue. To counter a variety of attacks, especially large-scale coordinated attacks, a framework of Collaborative Intrusion Detection System (IDS) is proposed. The proposed system could reduce the impact of these kinds of attacks through providing timely notifications about new intrusions to Cloud users' systems. To provide such ability, IDSs in the cloud computing regions both correlate alerts from multiple elementary detectors and exchange knowledge of interconnected Clouds with each other.
Intrusion Detection System (IDS) is meant to be a software application which monitors the network or system activities and finds if any malicious operations occur. Tremendous growth and usage of internet raises concerns about how to protect and communicate the digital information in a safe manner. Nowadays, hackers use different types of attacks for getting the valuable information. Many intrusion detection techniques, methods and algorithms help to detect these attacks. This main objective of this paper
is to provide a complete study about the definition of intrusion detection, history, life cycle, types of intrusion detection methods, types of attacks, different tools and techniques, research needs, challenges and
applications.
IoT Network Attack Detection using Supervised Machine LearningCSCJournals
The use of supervised learning algorithms to detect malicious traffic can be valuable in designing intrusion detection systems and ascertaining security risks. The Internet of things (IoT) refers to the billions of physical, electronic devices around the world that are often connected over the Internet. The growth of IoT systems comes at the risk of network attacks such as denial of service (DoS) and spoofing. In this research, we perform various supervised feature selection methods and employ three classifiers on IoT network data. The classifiers predict with high accuracy if the network traffic against the IoT device was malicious or benign. We compare the feature selection methods to arrive at the best that can be used for network intrusion prediction.
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 Overview of Intrusion Detection and Prevention Systems (IDPS) and Security...IOSR Journals
Technical solutions, introduced by policies and implantations are essential requirements of an
information security program. Advanced technologies such as intrusion detection and prevention system (IDPS)
and analysis tools have become prominent in the network environment while they involve with organizations to
enhance the security of their information assets. Scanning and analyzing tools to pinpoint vulnerabilities, holes
in security components, unsecured aspects of the network and deploying of IDPS technology are highlighted.
An Overview of Intrusion Detection and Prevention Systems (IDPS) and security...Ahmad Sharifi
This document provides an overview of intrusion detection and prevention systems (IDPS). It discusses the types of threats, vulnerabilities, and intrusions that IDPS aim to address. It describes the differences between network-based and host-based IDPS, as well as signature-based and anomaly-based detection methods. The document also outlines some key capabilities of IDPS, such as identifying hosts, operating systems, applications, and network characteristics. It notes limitations of IDPS, including inability to analyze encrypted traffic. Finally, it emphasizes the importance of properly deploying and managing IDPS according to organizational needs and policies as part of a layered defense-in-depth security strategy.
“AI techniques in cyber-security applications”. Flammini lnu susec19Francesco Flammini
The document discusses using artificial intelligence techniques like Bayesian networks and event trees for cybersecurity applications. It describes how these techniques can help address issues with security operations centers being overwhelmed by too much information from various sensors and systems. Bayesian networks and event trees can help fuse data from different sources to detect threats more effectively. The document provides examples of how Bayesian networks can be built using historical threat data and customized for specific organizations. It also discusses how these models can be updated dynamically based on real-time data from systems.
Cyber security involves protecting networks, computers, programs, and data from damage, unauthorized access, and impairment. It includes securing physical access to hardware and protecting against network attacks, data and code injection, and misuse by operators. As cyber attacks increase daily, nations face higher risks, so cyber security is a growing priority. Hacking, child pornography, copyright infringement, and other cybercrimes harm people's and nations' security and financial well-being. Effective cyber security incorporates measures across applications, information, networks, and disaster recovery to detect and prevent illegal computer use and ensure confidentiality, integrity, and availability of data. National cyber security policies aim to safeguard information systems and critical infrastructure through public-private cooperation and awareness
The document discusses securing industrial IoT (IIoT) applications and devices. It identifies three main attack surfaces: the application, the device, and the network. To secure the application, it recommends using secure APIs, complex passwords, limiting API calls, and continuous deployment. For devices, it suggests securing the SIM card, physical device, and device software through measures like embedded SIMs, firmware updates, and remote management. Finally, it advises limiting voice, SMS, and data services on networks to reduce vulnerabilities. Overall, the document stresses the importance of prioritizing security for IIoT given the increasing threats to connected industrial systems.
Survey of apt and other attacks with reliable security schemes in manetijctet
This document summarizes security threats and challenges in mobile ad hoc networks (MANETs). It discusses advanced persistent threats (APTs) which aim to stealthily infiltrate networks to steal data. APTs use techniques like spear phishing and malware to infect systems. Malware types discussed include viruses, worms, trojans, and bots. The document also outlines requirements for securing MANETs against APTs, such as protecting devices and browsers from exploitation. Finally, it analyzes security issues in routing for MANETs and categorizes common routing protocols.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Security Issues and Challenges in Internet of Things – A ReviewIJERA Editor
The Internet of Things (IoT) alludes to the continually developing system of physical articles that component an
IP address for web availability, and the correspondence that happens between these items and other Web
empowered gadgets and frameworks. The security issues of the Internet of Things (IoT) are straight forwardly
identified with the wide utilization of its framework. IoT securities and enhancing the design and several
elements of this work showcases various security issues with respect to IoT and thinks of solutions for the issues
under the advancements included. Here we are going to do a study of all the security issues existing in the
Internet of Things (IoT) alongside an examination of the protection issues that an end-client might confront as
an outcome of the spread of IoT. Most of the overview is centred around the security emerging out of the data
trade innovations utilized as a part of Internet of Things. As a piece of IoTs, genuine concerns are raised over
access of individual data relating to gadget and individual protection. This review tells about the security and
protection issues of IoT.
The document discusses cyber security standards and threats in industrial networks. It describes the IEC 62443 standard for securing industrial networks and discusses levels of security it provides. The document also summarizes WoMaster's cyber security solutions, including secure remote access, multi-level authentication, ACLs, DHCP snooping, and DDoS prevention in line with IEC 62443 requirements to secure industrial IoT networks. WoMaster's solutions integrate software and hardware for comprehensive protection against cyber threats.
IRJET- Local Security Enhancement and Intrusion Prevention in Android Dev...IRJET Journal
This document proposes a local security enhancement and intrusion prevention system for Android devices. It summarizes existing host-based intrusion detection systems and behavior-based intrusion prevention systems for Android smartphones. The proposed system uses net flow based clustering to identify anomalies and correlates with host-based features to detect malware intrusions. The goal is to provide versatile security for Android smartphones by detecting a wide range of attacks, including denial of service attacks and probing. The system aims to detect new attacks as well.
IRJET - Cyber Security Threats and Measures in Context with IoTIRJET Journal
This document discusses cyber security threats related to Internet of Things (IoT) devices and proposes measures to address them. It begins with an introduction to the growth of IoT and the security risks it poses as more data is shared through interconnected devices. Common cyber attacks on IoT devices are then explored, such as attacks exploiting default passwords and lack of updates. Specific security issues for wireless sensor networks, RFID technology, and the application layer are also outlined. The document proposes developing calibrated security measures for IoT devices to provide authentication, integrity, and confidentiality of information flows. A case study demonstrates how identifying and verifying users could help reduce the risk of fraud.
An Analytical Study on Attacks and Threats in Cyber Security and its Evolving...ijtsrd
In today’s dynamic and technologically advanced world, the Internet has become one of the most innovative and rapidly growing technologies. With its rise, it has also become vulnerable to a significant increase in occurrences of cyber attacks, with detrimental effects. Typically, these cyber attacks are targeted at accessing, manipulating, or damaging confidential data, extracting users money, or extorting an organization’s or user’s private information. Sensitive information, whether intellectual property, financial data, confidential information, or other forms of private data are exposed to unauthorized access or disclosure, which can have adverse consequences. Protecting data has become one of the greatest obstacles today as cyber attacks are constantly escalating. Along with the growth of internet services and the advancement of information technology, the importance of cybersecurity is crucial. Cybersecurity aims to ensure that the security interests of the company and users assets are protected and preserved against relevant cyber threats in the digital world. The data and confidentiality of computing assets pertaining to the network of an organization are protected by cybersecurity. This paper mainly focuses on threats and issues in cybersecurity facing modern technologies. It also focuses on the latest cybersecurity strategies and developments that are transforming the face of cybersecurity. Omkar Veerendra Nikhal "An Analytical Study on Attacks and Threats in Cyber Security and its Evolving Trends on Modern Technologies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38195.pdf Paper URL : https://www.ijtsrd.com/computer-science/computer-security/38195/an-analytical-study-on-attacks-and-threats-in-cyber-security-and-its-evolving-trends-on-modern-technologies/omkar-veerendra-nikhal
Claves língüística para comprender lecturas en inglésRoberto Alvarado
Mapa Mental creado con MindMap9 para explicar el uso de las Claves língüística para comprender lecturas en inglés: grafofónicas, semánticas, sintácticas y pragmáticas.
The liquid flow sensor consists of a plastic valve body, a rotor, and a hall-effect sensor that outputs a pulse signal corresponding to the rotor's speed, which changes with different flow rates. The sensor uses pressure difference self-locking to control small flows and is widely used in applications like cooling towers, environmental protection, and chemical industries. MOJO also produces OEM fuel level sensors for vehicle and ship fuel tanks with customizable signal outputs and international standard mounting options.
This document contains a summary of Mahmoud Fayez Abed's qualifications and experience. It lists his contact information, education background including a BA in Management Systems and a Master's in Media. It then outlines his work experience in media, education, and training roles. The document also lists his training courses, scientific participations, certificates, and references.
The document outlines five ways to quickly get more subscribers on YouTube within 5 minutes or less. It recommends using websites like ytpals.com, SubPals.com, subscribertrain.com, submenow.com, and subscriberz.com that claim to provide 10 or 5 new subscribers every 12-24 hours. It promises to show how these websites work and where subscribers can be obtained.
An Extensive Survey of Intrusion Detection SystemsIRJET Journal
This document summarizes an extensive survey of intrusion detection systems. It discusses the general architecture of IDS, including host-based and network-based systems. It describes different types of attacks (e.g. DoS, probing, user-to-root) and defenses. It analyzes previous work applying data mining techniques like machine learning to improve detection rates and reduce false alarms. A key problem is the massive number of false alarms that overburden security managers; the document aims to investigate solutions to lower the false alarm rate so that real threats are not missed.
A Review Of Intrusion Detection System In Computer NetworkAudrey Britton
This document provides an overview of intrusion detection systems (IDS) and the techniques used to implement them. It discusses that IDS are used to detect malicious actions on computer networks and protect important files and documents. The document then summarizes that IDS have four main components - sensors to monitor the system, a database to store event information, an analysis module to detect potential threats, and a response module to address detected threats. It also categorizes IDS based on the data source, detection approach, structure, and how intrusions are detected. Finally, the document outlines various techniques used in IDS, including artificial intelligence methods like neural networks, fuzzy logic, genetic algorithms and machine learning approaches.
Invesitigation of Malware and Forensic Tools on Internet IJECEIAES
Malware is an application that is harmful to your forensic information. Basically, malware analyses is the process of analysing the behaviours of malicious code and then create signatures to detect and defend against it.Malware, such as Trojan horse, Worms and Spyware severely threatens the forensic security. This research observed that although malware and its variants may vary a lot from content signatures, they share some behaviour features at a higher level which are more precise in revealing the real intent of malware. This paper investigates the various techniques of malware behaviour extraction and analysis. In addition, we discuss the implications of malware analysis tools for malware detection based on various techniques.
A Comprehensive Review On Intrusion Detection System And TechniquesKelly Taylor
This document discusses machine learning techniques for intrusion detection systems (IDS). It provides an overview of the research progress using machine learning to improve intrusion detection in networks. Machine learning and data mining techniques have been widely used to automatically detect network traffic anomalies. The goal is to summarize and compare research contributions of IDS using machine learning, define existing challenges, and discuss anticipated solutions. Commonly used machine learning techniques for IDS are reviewed along with some existing machine learning-based IDS proposed by researchers.
IRJET- A Review on Intrusion Detection SystemIRJET Journal
This document provides a review of intrusion detection systems (IDS). It discusses the purpose of IDS in monitoring networks to detect anomalous behavior and security exploits. The document outlines the basic components and architecture of IDS, including sensors to collect data, an analyzer to examine data for intrusions, a knowledgebase of activity logs and signatures, and a user interface. It also covers different types of attacks IDS aims to detect, such as denial-of-service, spoofing and probing attacks. Finally, the document summarizes the typical workflow of an IDS in collecting data, selecting relevant features for analysis, analyzing data for intrusions, and taking appropriate actions in response.
A Mitigation Technique For Internet Security Threat of Toolkits AttackCSCJournals
The development of attack toolkits conforms that cybercrime is driven primarily by financial motivations as noted from the significant profits made by both the developers and buyers. In this paper, an enhanced hybrid attack toolkit mitigation model was designed to tackle the economy of the attack toolkits using different techniques to discredit it. The mitigation looked into Zeus, a common and the most frequently used attack toolkit to discover the hidden information used by the attackers to launch attacks. This information helped in creating honey toolkits, honeybot and honeytokens. Honeybots are used to submit honeytoken to botmasters, who sells to the internet black market. Both the botmasters, his mules and buyers attempts to steal huge amount of money using the stolen credentials which includes both real and honeytokens and will be detected by an attack detector which sends an alert on any transaction involving the honeytokens. A reconfirmation process which is secured using enhanced RC6 cryptosystem is enacted. The reconfirmation message in plain text is securely encrypted into cipher text and transmitted from the bank to the legitimate account owner and vise visa. The result of the crypto analysis carried out on the encrypted text using RC6 encryption algorithm showed that the cipher text is not transparent.
Client Honeypot Based Drive by Download Exploit Detection and their Categoriz...IJERA Editor
Client side attacks are those which exploits the vulnerabilities in client side applications such as browsers, plug-ins etc. The remote attackers execute the malicious code in end user’s system without his knowledge. Here in this research, we propose to detect and measure the drive by download class of malware which infect the end user’s system through HTTP based propagation mechanism. The purpose of this research is to introduce a class of technology known as client honeypot through which we execute the domains in a virtual machine in more optimized manner. Those virtual machines are the controlled environment for the execution of those URLs. During the execution of the websites, the PE files dropped into the system are logged and further analyzed for categorization of malware. Further the critical analysis has been performed by applying some reverse engineering techniques to categories the class of malware and source of infections performed by the malware.
Day by day the internet is becoming an essential part of everyone’s life. In India from 2015 – 2020, there is an increase in internet users by 400 million users. As technology and innovation are increasing rapidly. Security is a key point to keep things in order. Security and privacy are the biggest concern in the world let it is in any field or domain. There is no big difference in cyber security the security is the biggest concern worrying about attacks which could happen anytime. So, in this paper, we are going to talk about honeypot comprehensively. The aim is to track hacker to analyze and understand hacker attacker behavior to create a secure system which is sustainable and efficient. Anoop V Kanavi | Feon Jaison "Honeypot Methods and Applications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38045.pdf Paper URL : https://www.ijtsrd.com/computer-science/computer-security/38045/honeypot-methods-and-applications/anoop-v-kanavi
This document provides a review of cyber security and cyber crimes. It discusses the definition of cyber crimes and examples like stealing credit card information, hacking websites, and phishing. It outlines the history of cyber crimes dating back to the 1970s and describes different types like malware attacks, password attacks, and distributed denial of service attacks. The document also discusses cyber security measures like keeping software updated, using strong passwords, and avoiding public Wi-Fi networks. It concludes with an overview of India's Information Technology Act of 2000 which aims to address cyber crimes and security issues.
Augment Method for Intrusion Detection around KDD Cup 99 DatasetIRJET Journal
This document discusses augmenting methods for intrusion detection using the KDD Cup 99 dataset. It aims to improve detection accuracy and reduce false positives. The key points are:
- It analyzes detection precision and true positive rate (recall) for different attack classes in the KDD Cup 99 dataset to help improve dataset accuracy.
- Experimental results show the contribution of each attack class to recall and precision, which can help optimize the dataset to achieve highest accuracy with lowest false positives.
- The goal is to enhance testing of detection models and improve data quality to advance offline intrusion detection capabilities.
Analysis of Artificial Intelligence Techniques for Network Intrusion Detectio...IIJSRJournal
With the rapid advancement of computer technology during the last couple of decades. Computer systems are commonly used in manufacturing, corporate, as well as other aspects of human living. As a result, constructing dependable infrastructures is a major challenge for IT managers. On the contrary side, this same rapid advancement of technology has created numerous difficulties in building reliable networks which are challenging tasks. There seem to be numerous varieties of attacks that affect the accessibility, authenticity, as well as secrecy of communications systems. In this paper, an in-depth and all-inclusive description of artificial intelligence methods used for the detection of network intrusions is discussed in detail.
This document provides an overview of techniques for identifying Advanced Persistent Threats (APTs). It discusses 5 styles of techniques: network traffic analysis, network forensics, payload analysis, endpoint behavior analysis, and endpoint forensics. For each style, it provides examples of specific techniques. It emphasizes that effective APT protection requires combining techniques from different styles and approaches. The information is intended to be informative but does not constitute an explicit recommendation of any product or approach.
HOST PROTECTION USING PROCESS WHITE-LISTING, DECEPTION AND REPUTATION SERVICESAM Publications,India
The Internet or World Wide Web has become prominent platform for business and commerce and is witnessing user growth with increased penetration of mobile Internet. Huge traffic is being generated, some of it being legitimate and the rest being malicious. Hence the implementation and maintenance of Information Security programs is been done .In the age of the Internet, protecting our information has become just as important as protecting our property. Malware authors have found and exploited new zero-day vulnerabilities resulting in damage to end-user system. Ransomware, a malware that has taken malware attacks to a new level by locking files of the affected user and demand Bitcoin payment to unlock those files. On the other hand the Volume and frequency of Distributed Denial of Service (DDoS) attacks have increased. Many unpatched machines without the knowledge of its owners have become a part of Botnets which carry out DDoS attacks. This paper focuses on strategies to be adopted to protect individual hosts from malware attacks and other types of intrusions using Deception, White-Listing and Reputation Services.
Information Systems and Networks are subjected to electronic attacks. When
network attacks hit, organizations are thrown into crisis mode. From the IT department to
call centers, to the board room and beyond, all are fraught with danger until the situation is
under control. Traditional methods which are used to overcome these threats (e.g. firewall,
antivirus software, password protection etc.) do not provide complete security to the system.
This encourages the researchers to develop an Intrusion Detection System which is capable
of detecting and responding to such events. This review paper presents a comprehensive
study of Genetic Algorithm (GA) based Intrusion Detection System (IDS). It provides a
brief overview of rule-based IDS, elaborates the implementation issues of Genetic Algorithm
and also presents a comparative analysis of existing studies.
Malicious activities (malcodes) are self replicating
malware and a major security threat in a network environment.
Timely detection and system alert flags are very essential to
prevent rapid malcodes spreading in the network. The difficulty
in detecting malcodes is that they evolve over time. Despite the fact
that signature-based tools, are generally used to secure systems,
signature-based malcode detectors neglect to recognize muddled
and beforehand concealed malcode executables. Automatic signature
generation systems has likewise been use to address the issue
of malcodes, yet there are many works required for good detection.
Base on the behavior way of malcodes, a behavior approach is
required for such detection. Specifically, we require a dynamic
investigation and behavior Rule Base system that distinguishes
malcodes without erroneously block legitimate traffic or increase
false alarms. This paper proposed and discussed the approach
using Machine learning and Indicators of Compromise (IOC) to
analyze intrusion in a network, to identify the cause of the attack
and to provide future detection. This paper proposed the use of
behaviour malware analysis framework to analyze intrusion data,
apply clustering algorithm on the analyzed data and generate IOC
from the clustered data for IOCRule, which will be implemented
into Snort Intrusion Detection System (IDS) for malicious code
detection.
IBM X-Force Threat Intelligence Quarterly Q4 2015Andreanne Clarke
The document discusses four key cybercrime trends observed by IBM's Emergency Response Services team in 2015: 1) an increase in "onion-layered" security incidents involving both unsophisticated and advanced attackers; 2) a rise in ransomware attacks that encrypt files and demand ransom; 3) growing threats from insider attacks; and 4) cybersecurity becoming a higher priority issue for management. It provides details on each trend and recommendations for organizations to improve security practices such as patching systems, increasing network visibility, training users, and having proper backup and response plans in place.
IRJET- Security Risk Assessment on Social Media using Artificial Intellig...IRJET Journal
1. The document proposes using artificial intelligence to assess security risks on social media by detecting suspicious activity and malicious URLs.
2. It discusses drawbacks of existing intrusion detection systems, including complexity and vulnerabilities.
3. The proposed system would use AI techniques to automate intrusion detection, identify unknown threats, and learn over time to handle large volumes of data.
Nowadays maintaining security in the networking domain is very important and essential since the network is hacked by the unauthorized people. There are various strategies and mechanism have been applied which provide the security to some extent. Most of these security mechanisms principles are similar to encryption and firewall. Even though this mechanism provides security, but these strategies are failed to detect the intrusions in which there is a need for development of new technology and it is known as Intrusion detection system. The Intrusion detection systems are used to identify the problems like unauthorized use, misuse and abuse of computer networking systems. Outside attackers are not only the problem, the threat of authorized users misusing and abusing their privileges is an equally pressing concern. Intrusion detection systems are used to analyze the event occurrence in a system with the goal to indicate security issues. An intrusion detection system display networked units and appears for anomalous or malicious conduct within the patterns of exercise within the audit stream.This paper studied the basic concepts of intrusion detection, its need, components and challenges.
This document summarizes a research paper on anomaly detection using machine learning approaches. It discusses how anomaly detection techniques can be used to detect cyber attacks and malware infections. It proposes using an uphill decision tree algorithm for anomaly detection. The document provides background on anomaly detection and intrusion detection systems. It also reviews previous related work using statistical and machine learning models. Finally, it presents a prototype model for an anomaly detection system that uses an uphill decision tree algorithm to process audit data and detect anomalies by raising alarms.
Understanding the term hacking as any unconventional way of interacting with some system it is easy to conclude that there are enormous number of people who hacked or tried to hack someone or something. The article, as result of author research, analyses hacking from different points of view, including hacker's point of view as well as the defender's point of view. Here are discussed questions like: Who are the hackers? Why do people hack? Law aspects of hacking, as well as some economic issues connected with hacking. At the end, some questions about victim protection are discussed together with the weakness that hackers can use for their own protection. The aim of the article is to make readers familiar with the possible risks of hacker's attacks on the mobile phones and on possible attacks in the announced food of the internet of things (next IoT) devices
Similar to Intelligent Network Surveillance Technology for APT Attack Detections (20)
What is Master Data Management by PiLog Groupaymanquadri279
PiLog Group's Master Data Record Manager (MDRM) is a sophisticated enterprise solution designed to ensure data accuracy, consistency, and governance across various business functions. MDRM integrates advanced data management technologies to cleanse, classify, and standardize master data, thereby enhancing data quality and operational efficiency.
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
WhatsApp offers simple, reliable, and private messaging and calling services for free worldwide. With end-to-end encryption, your personal messages and calls are secure, ensuring only you and the recipient can access them. Enjoy voice and video calls to stay connected with loved ones or colleagues. Express yourself using stickers, GIFs, or by sharing moments on Status. WhatsApp Business enables global customer outreach, facilitating sales growth and relationship building through showcasing products and services. Stay connected effortlessly with group chats for planning outings with friends or staying updated on family conversations.
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
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Flutter is a popular open source, cross-platform framework developed by Google. In this webinar we'll explore Flutter and its architecture, delve into the Flutter Embedder and Flutter’s Dart language, discover how to leverage Flutter for embedded device development, learn about Automotive Grade Linux (AGL) and its consortium and understand the rationale behind AGL's choice of Flutter for next-gen IVI systems. Don’t miss this opportunity to discover whether Flutter is right for your project.
SMS API Integration in Saudi Arabia| Best SMS API ServiceYara Milbes
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Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
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Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.