For more classes visit
www.snaptutorial.com
SEC 572 Week 1 iLab Denial of Service Attacks
In this lab, you will discover and analyze one of two different real network attacks. This will give you insight into the motivation, vulnerabilities, threats, and countermeasures associated with your selected network attack.
For more classes visit
www.snaptutorial.com
SEC 572 Week 1 iLab Denial of Service Attacks
In this lab, you will discover and analyze one of two different real network attacks. This will give you insight into the motivation, vulnerabilities, threats, and countermeasures associated with your selected network attack.
This document outlines a lab assignment to design a secure wireless network for a small home or office (SOHO) environment. Students are instructed to identify the hardware and software needed to meet the network security policies and user requirements defined in an earlier lab. The design should include an overview of the technical functionality and requirements, as well as a logical illustration of the network design. The goal is to gain experience selecting wireless network technologies to satisfy typical requirements.
This document provides guidance for a lab assignment on selecting and designing a secure wireless network for a small office/home office (SOHO) environment. The student is instructed to identify the hardware and software needed to support the network security policies and user requirements defined in an earlier lab. Key elements of the response include outlining the requirements of the secure wireless network, providing an overview of the proposed technical solution, and illustrating the logical network design. Citations for any external resources must also be included.
For more course tutorials visit
www.tutorialrank.com
SEC 572 Week 1 iLab Denial of Service Attacks
In this lab, you will discover and analyze one of two different real network attacks. This will give you insight into the motivation, vulnerabilities, threats, and countermeasures associated with your selected network attack.
Sec 572 Effective Communication - tutorialrank.comBartholomew99
For more course tutorials visit
www.tutorialrank.com
SEC 572 Week 1 iLab Denial of Service Attacks
In this lab, you will discover and analyze one of two different real network attacks. This will give you insight into the motivation, vulnerabilities, threats, and countermeasures associated with your selected network attack.
There are two categories of network attacks you will be concerned with this week. The first is a network denial of service (DoS) attack, and the second is a targeted attack on a networ
This document provides guidance for a lab assignment on designing a secure wireless network. It outlines the required sections for the lab document, including requirements and policies for the wireless network, an overview of the proposed secure wireless solution, and an illustration of the network design. Students are instructed to select hardware and software to support the security policies and user requirements defined in an earlier lab. The goal is to gain experience designing wireless networks to meet typical requirements and industry standards.
This document contains summaries of two lab assignments completed by Carmen Alcivar for the Foundations of Information Assurance course at Northeastern University. The first lab involved using encryption with Kleopatra to enhance confidentiality and integrity. Screenshots show the fingerprint generated and decryption of an encrypted file. The second lab applied encryption and hashing algorithms for secure communications. Hashes were calculated for files with and without modifications to show changing content alters the hash. GNU Privacy Guard was used to encrypt and decrypt files and calculate hashes. Screenshots documented the process.
Burning Down the Haystack to Find the Needle: Security Analytics in ActionJosh Sokol
This document discusses security analytics and how analyzing data from multiple security tools can provide greater visibility into threats. It introduces Josh Sokol and Walter Johnson who will discuss how security tools often work in silos and how an ecosystem where they can share data can help answer questions like whether a system is under attack. Network flow data is described as important "glue" that can tie events together to illustrate attack progressions.
For more classes visit
www.snaptutorial.com
SEC 572 Week 1 iLab Denial of Service Attacks
In this lab, you will discover and analyze one of two different real network attacks. This will give you insight into the motivation, vulnerabilities, threats, and countermeasures associated with your selected network attack.
This document outlines a lab assignment to design a secure wireless network for a small home or office (SOHO) environment. Students are instructed to identify the hardware and software needed to meet the network security policies and user requirements defined in an earlier lab. The design should include an overview of the technical functionality and requirements, as well as a logical illustration of the network design. The goal is to gain experience selecting wireless network technologies to satisfy typical requirements.
This document provides guidance for a lab assignment on selecting and designing a secure wireless network for a small office/home office (SOHO) environment. The student is instructed to identify the hardware and software needed to support the network security policies and user requirements defined in an earlier lab. Key elements of the response include outlining the requirements of the secure wireless network, providing an overview of the proposed technical solution, and illustrating the logical network design. Citations for any external resources must also be included.
For more course tutorials visit
www.tutorialrank.com
SEC 572 Week 1 iLab Denial of Service Attacks
In this lab, you will discover and analyze one of two different real network attacks. This will give you insight into the motivation, vulnerabilities, threats, and countermeasures associated with your selected network attack.
Sec 572 Effective Communication - tutorialrank.comBartholomew99
For more course tutorials visit
www.tutorialrank.com
SEC 572 Week 1 iLab Denial of Service Attacks
In this lab, you will discover and analyze one of two different real network attacks. This will give you insight into the motivation, vulnerabilities, threats, and countermeasures associated with your selected network attack.
There are two categories of network attacks you will be concerned with this week. The first is a network denial of service (DoS) attack, and the second is a targeted attack on a networ
This document provides guidance for a lab assignment on designing a secure wireless network. It outlines the required sections for the lab document, including requirements and policies for the wireless network, an overview of the proposed secure wireless solution, and an illustration of the network design. Students are instructed to select hardware and software to support the security policies and user requirements defined in an earlier lab. The goal is to gain experience designing wireless networks to meet typical requirements and industry standards.
This document contains summaries of two lab assignments completed by Carmen Alcivar for the Foundations of Information Assurance course at Northeastern University. The first lab involved using encryption with Kleopatra to enhance confidentiality and integrity. Screenshots show the fingerprint generated and decryption of an encrypted file. The second lab applied encryption and hashing algorithms for secure communications. Hashes were calculated for files with and without modifications to show changing content alters the hash. GNU Privacy Guard was used to encrypt and decrypt files and calculate hashes. Screenshots documented the process.
Burning Down the Haystack to Find the Needle: Security Analytics in ActionJosh Sokol
This document discusses security analytics and how analyzing data from multiple security tools can provide greater visibility into threats. It introduces Josh Sokol and Walter Johnson who will discuss how security tools often work in silos and how an ecosystem where they can share data can help answer questions like whether a system is under attack. Network flow data is described as important "glue" that can tie events together to illustrate attack progressions.
Auditing a Wireless Network and Planning for a Secure WLAN ImplementationCARMEN ALCIVAR
The document is a lab assignment summarizing an audit of a wireless network. The student found that the network was vulnerable due to a lack of encryption. Using tools like aircrack-ng, the student was able to capture login credentials and other data in clear text. The student then used a dictionary attack to crack the WPA key and gain unauthorized access to the network. In their recommendations, the student emphasizes using strong encryption methods like WPA2 and multifactor authentication to secure the wireless network and prevent unauthorized access.
A Study on Data Mining Based Intrusion Detection SystemAM Publications
In recent years security has remained unsecured for computers as well as data network systems. Intrusion detecting
system used to safeguard the data confidentiality, integrity and system availability from various types of attacks. Data mining
techniques that can be applied to intrusion detection system to detect normal and abnormal behavior patterns. This paper studies
nature of network attacks and the current trends of data mining based intrusion detection techniques
This document describes a project to develop an intrusion detection system using data mining techniques. It discusses approaches to intrusion detection including signature-based and anomaly-based methods. For the project, a hybrid network-based and host-based intrusion detection system is proposed. Data preprocessing and mining techniques including clustering, outlier detection, and classification are applied to network packet data and system call logs to detect attacks.
Cloudslam09:Building a Cloud Computing Analysis System for Intrusion DetectionWei-Yu Chen
In order to resolve huge amount of anomaly
information generated by Intrusion Detection System (IDS), this paper presents and evaluates a log analysis system for IDS based on Cloud Computing technique,
named IDS Cloud Analysis System (ICAS). To achieve this, there are two basic components have to be designed. First is the regular parser, which normalizes
the raw log files. The other is the Analysis Procedure, which contains Data Mapper and Data Reducer. The Data Mapper is designed to anatomize alert messages and the Data Reducer is used to aggregates and merges. As a result, this paper will show that the
performance of ICAS is suitable for analyzing and reducing large alerts.
This document discusses using data visualization techniques to analyze network security data and detect cyber attacks. It provides examples of visualizing network traffic data from tcpdump files using Perl scripts and Grace to plot graphs. Specific examples include visualizing a port scan, vulnerability scanner, and wargame traffic to identify anomalous patterns compared to normal traffic baselines. Tools mentioned include tcpdump, Ethereal, EtherApe, and research on visualizing intrusion detection systems, routing anomalies, and worm propagation.
A Survey on Cloud-Based IP Trace Back FrameworkIRJET Journal
This document summarizes a survey of cloud-based IP traceback frameworks. It proposes a cloud-based traceback architecture with three layers: an intra-AS layer where traceback servers in each Autonomous System (AS) collect and store traffic flow data; a traceback as a service layer where ASes expose their traceback capabilities; and an inter-AS logical links layer to facilitate efficient traceback across ASes. It then focuses on access control to prevent unauthorized users from requesting traceback information. To address this, it proposes a temporal token-based authentication framework called FACT that embeds tokens in traffic flows and delivers them to end hosts to authenticate traceback queries. The framework aims to ensure only actual recipients of packets can initiate traceback for those packets.
The document discusses different techniques for intrusion detection systems, including misuse detection, anomaly detection, pattern matching, and machine learning methods. It proposes two ideas for improving intrusion detection: 1) using association pattern detecting to match patterns in sequential data, and 2) discovering new patterns from existing rule sets using data mining or machine learning.
Deep Learning based Threat / Intrusion detection systemAffine Analytics
The document describes a proposed intrusion/threat detection system with the following key components:
1. A feature engineering module to extract relevant features from organizational data like employee information and online activities.
2. A text processing and topic modeling module to analyze communications data and identify confidential information.
3. An internal threat detection system using deep learning to detect threats in real-time with a risk score and predefined response policies.
4. An external threat detection system using signatures and anomaly detection to enforce actions against external threats.
A Network Penetration Testing is crucial to demystify identify the security exposures that are used to surface when launch a cyber-attacks are launched from internet and intranet.
More insights on Penetration Testing:
http://www.happiestminds.com/Insights/penetration-testing/
Survey on classification techniques for intrusion detectioncsandit
Intrusion detection is the most essential component
in network security. Traditional Intrusion
Detection methods are based on extensive knowledge
of signatures of known attacks. Signature-
based methods require manual encoding of attacks by
human experts. Data mining is one of the
techniques applied to Intrusion Detection that prov
ides higher automation capabilities than
signature-based methods. Data mining techniques suc
h as classification, clustering and
association rules are used in intrusion detection.
In this paper, we present an overview of
intrusion detection, KDD Cup 1999 dataset and detai
led analysis of different classification
techniques namely Support vector Machine, Decision
tree, Naïve Bayes and Neural Networks
used in intrusion detection.
Threat hunting involves proactively searching networks to detect threats like advanced persistent threats that evade existing security systems. It is done through a hunting loop of forming hypotheses based on analytics, intelligence, or situational awareness, investigating through tools and data, uncovering patterns and indicators, and informing analytics. Various methods can be used for hunting like DNS fuzzing to find malicious domains, analyzing passive DNS data, web server logs, emails, and Windows logs. Open source tools used include Maeltego CE, YARA, and AIEngine, while commercial tools are Sqrrl, Exabeam, Infocyte HUNT, Mantix4, and AI Hunter.
Exploring the Social Engineering Toolkit (Set) Using Backtrack 5R3IJERA Editor
Linux Operating System is being reverenced by many professionals because of its versatile nature. As many network security professionals ,particularly those of ethical hackers use linux in an extensive way, did we ever observe how and why the number of hackers were enhancing day to day. Not only professionals ,every one are unleashing their hacking potentials with the help of Backtrack5R3 operating system which is a comprehensive tool kit for security auditing. This paper emphasizes on the so called SET (Social Engineering Toolkit).In a pen-testing scenario, alongside uncovering vulnerabilities in the hardware and software systems and exploiting them ,the most effective of all is penetrating the human mind to extract the desire information. Such devious technics are known as social engineering ,and computer based software tools to facilitate this form the basis of Social Engineering Toolkit
Cyber Defense Forensic Analyst - Real World Hands-on ExamplesSandeep Kumar Seeram
The document discusses analyzing malware using static and dynamic analysis techniques. Static analysis involves examining a malware file's code and structure without executing it, using tools like disassemblers and string extractors. Dynamic analysis executes malware in a controlled environment to observe its behaviors and any changes it makes. The document then demonstrates analyzing the "Netflix Account Generator" malware using an isolated cloud sandbox, where it is observed starting child processes and making outbound network connections, suggesting it is a remote access trojan.
We offer you free sample questions along answers prepared by the professionals of the IT field. You can easily pass your CISSP Test with our Training Kits. For more info please visit here: http://www.certsgrade.com/pdf/CISSP/
Analysis and Design for Intrusion Detection System Based on Data MiningPritesh Ranjan
This document discusses using data mining techniques to improve intrusion detection systems (IDS). It begins by introducing computer network risks and limitations of existing IDS approaches. It then discusses using data mining algorithms like ID3, k-means clustering, and Apriori pattern mining within a hybrid IDS framework. The framework includes sensors to collect host and network data, a data warehouse for storage, and an analysis engine using misuse detection, anomaly detection and data mining algorithms to detect intrusions. It concludes that data mining allows IDS to detect both known and unknown attacks more efficiently.
IRJET- Penetration Testing using Metasploit Framework: An Ethical ApproachIRJET Journal
This document discusses penetration testing using the Metasploit framework. It begins with an introduction to penetration testing and why it is important for ensuring system and network security. It then describes the phases of penetration testing: information gathering, vulnerability analysis, vulnerability exploitation, post exploitation, and report generation. Finally, it discusses using tools in the Metasploit framework like exploits and payloads to conduct penetration testing according to these phases and ethical approaches. The goal is to identify vulnerabilities before attackers can exploit them.
IRJET- Netreconner: An Innovative Method to Intrusion Detection using Regular...IRJET Journal
This document describes NetReconner, an intrusion detection system that uses regular expressions to detect network attacks. It works by capturing network packets using tcpdump and storing them in a file. A detection engine then compares each line of the captured packets to a set of regular expressions that represent known attacks. If a match is found, an alert is generated. The system also allows administrators to add new regular expressions to detect newly discovered attacks. It was developed to provide continuous monitoring of the network to identify malicious traffic in real-time.
This document discusses challenges in detecting lateral movement attacks and proposes a solution using machine learning models. It summarizes:
1) Independent alert streams from security tools create a triage burden and do not capture complex attacks.
2) A combined model is built to detect compromised accounts/machines from Windows event logs, assessing login probability, credential elevation, and other signals.
3) The combined model ranks sessions using gradient descent learning to rank. Testing with penetration testers showed the top-ranked sessions had a 96% precision.
The document describes a hybrid honeypot framework for collecting and analyzing malware. The framework uses both client honeypots and server honeypots controlled by a central honeypot controller. Client honeypots actively visit URLs to detect client-side attacks, while server honeypots passively detect server-side attacks. Collected malware is stored in a central database and analyzed on an analysis server to detect known and unknown malware types through dynamic execution and static analysis. The integrated framework was able to collect thousands of malware samples, including some not detected by antivirus software.
CONTROLLING IP FALSIFYING USING REALISTIC SIMULATIONIJNSA Journal
This document discusses a proposal to develop a new distributed Internet simulator to study large-scale network events like distributed denial-of-service (DDoS) attacks and worm propagation. Existing network simulators have limited scalability and lack realistic Internet models. The proposed simulator would have a built-in Internet topology model and customizeable modules to simulate specific events while cutting down on unnecessary details. It aims to make large-scale network simulation more accessible to researchers and improve the realism of simulations compared to simplified models currently used. The simulator could help study defenses against problems like IP spoofing, DDoS attacks, and worms.
ScenarioSummaryIn this lab, you will explore at least one IDS, IP.docxronnasleightholm
Scenario/Summary
In this lab, you will explore at least one IDS, IPS, or Honeypot currently offered by product vendors and cloud service providers. You will be making a security recommendation, related to the protection of a target network of your choice.
There are a few different paths you may take in this lab, so let's address some of the distinguishing features and definitions that are out there.
IDS and IPS Overview
·
An intrusion detection system (IDS) generally detects and logs known intrusions or anomalous network activity. Generally, no real-time protection actually occurs, therefore false-positives create little or no damage. Optionally, suspicious network traffic can be routed to an alternate network, such as a honeypot.
·
An intrusion protection system (IPS) generally detects, logs, and then blocks known intrusions or anomalous network activity. False-positives are an issue and will result in a self-inflicted denial of service condition. Optionally, suspicious network traffic can be routed to an alternate network, such as a honeypot.
Honeypot Overview
·
Honeypots come in several broad categories. The most common labels we apply to them are research honeypots, active honeypots, and offensive honeypots. They are designed to do what their label suggests, and here is a brief summary.
Note: Seek qualified legal advice before deploying any type of honeypot.
·
Research honeypots generally collect and analyze data about the attacks against a decoy-network. They can also route the attacker to new decoy-networks, to gather more details about the potential attacks. The data gathered are used to understand the attacks and strengthen the potential target networks.
·
Active honeypots have many of the features found in a research honeypot, but they also hold special content that, once taken by the attackers, can be used as evidence by investigators and law enforcement. For example, active honeypots may have database servers containing a fake bank account or credit card information.
·
Offensive honeypots are configured with many of the features of the active honeypots, with one interesting and dangerous addition: they are designed to damage the attacker. When used outside of your own network, this type of honeypot can result in vigilantism, attacks against false-targets, and may result in criminal charges against the honeypot operators. Offensive honeypots are not recommended for non-law-enforcement organizations. However, when used fully within your own network, this technique can detect and neutralize the attacker.
Any of the above services can be implemented on a privately managed network, or through a cloud service. The selection of one platform over another will generally determine where the specific protection occurs—on your network or in the cloud.
The reason for this lab is to give you an understanding of how special network technology can be used as a security research tool, while also providing varying degrees of protection.
Doc.
Insight Brief: Security Analytics to Identify the 12 Indicators of Compromise21CT Inc.
In this security insight brief, 21CT researchers look at the malicious network behaviors that concern organizations the most, and how to use security analytics to find them before damage is done. Understanding these 12 indicators of compromise are critical to identifying a network breach.
Auditing a Wireless Network and Planning for a Secure WLAN ImplementationCARMEN ALCIVAR
The document is a lab assignment summarizing an audit of a wireless network. The student found that the network was vulnerable due to a lack of encryption. Using tools like aircrack-ng, the student was able to capture login credentials and other data in clear text. The student then used a dictionary attack to crack the WPA key and gain unauthorized access to the network. In their recommendations, the student emphasizes using strong encryption methods like WPA2 and multifactor authentication to secure the wireless network and prevent unauthorized access.
A Study on Data Mining Based Intrusion Detection SystemAM Publications
In recent years security has remained unsecured for computers as well as data network systems. Intrusion detecting
system used to safeguard the data confidentiality, integrity and system availability from various types of attacks. Data mining
techniques that can be applied to intrusion detection system to detect normal and abnormal behavior patterns. This paper studies
nature of network attacks and the current trends of data mining based intrusion detection techniques
This document describes a project to develop an intrusion detection system using data mining techniques. It discusses approaches to intrusion detection including signature-based and anomaly-based methods. For the project, a hybrid network-based and host-based intrusion detection system is proposed. Data preprocessing and mining techniques including clustering, outlier detection, and classification are applied to network packet data and system call logs to detect attacks.
Cloudslam09:Building a Cloud Computing Analysis System for Intrusion DetectionWei-Yu Chen
In order to resolve huge amount of anomaly
information generated by Intrusion Detection System (IDS), this paper presents and evaluates a log analysis system for IDS based on Cloud Computing technique,
named IDS Cloud Analysis System (ICAS). To achieve this, there are two basic components have to be designed. First is the regular parser, which normalizes
the raw log files. The other is the Analysis Procedure, which contains Data Mapper and Data Reducer. The Data Mapper is designed to anatomize alert messages and the Data Reducer is used to aggregates and merges. As a result, this paper will show that the
performance of ICAS is suitable for analyzing and reducing large alerts.
This document discusses using data visualization techniques to analyze network security data and detect cyber attacks. It provides examples of visualizing network traffic data from tcpdump files using Perl scripts and Grace to plot graphs. Specific examples include visualizing a port scan, vulnerability scanner, and wargame traffic to identify anomalous patterns compared to normal traffic baselines. Tools mentioned include tcpdump, Ethereal, EtherApe, and research on visualizing intrusion detection systems, routing anomalies, and worm propagation.
A Survey on Cloud-Based IP Trace Back FrameworkIRJET Journal
This document summarizes a survey of cloud-based IP traceback frameworks. It proposes a cloud-based traceback architecture with three layers: an intra-AS layer where traceback servers in each Autonomous System (AS) collect and store traffic flow data; a traceback as a service layer where ASes expose their traceback capabilities; and an inter-AS logical links layer to facilitate efficient traceback across ASes. It then focuses on access control to prevent unauthorized users from requesting traceback information. To address this, it proposes a temporal token-based authentication framework called FACT that embeds tokens in traffic flows and delivers them to end hosts to authenticate traceback queries. The framework aims to ensure only actual recipients of packets can initiate traceback for those packets.
The document discusses different techniques for intrusion detection systems, including misuse detection, anomaly detection, pattern matching, and machine learning methods. It proposes two ideas for improving intrusion detection: 1) using association pattern detecting to match patterns in sequential data, and 2) discovering new patterns from existing rule sets using data mining or machine learning.
Deep Learning based Threat / Intrusion detection systemAffine Analytics
The document describes a proposed intrusion/threat detection system with the following key components:
1. A feature engineering module to extract relevant features from organizational data like employee information and online activities.
2. A text processing and topic modeling module to analyze communications data and identify confidential information.
3. An internal threat detection system using deep learning to detect threats in real-time with a risk score and predefined response policies.
4. An external threat detection system using signatures and anomaly detection to enforce actions against external threats.
A Network Penetration Testing is crucial to demystify identify the security exposures that are used to surface when launch a cyber-attacks are launched from internet and intranet.
More insights on Penetration Testing:
http://www.happiestminds.com/Insights/penetration-testing/
Survey on classification techniques for intrusion detectioncsandit
Intrusion detection is the most essential component
in network security. Traditional Intrusion
Detection methods are based on extensive knowledge
of signatures of known attacks. Signature-
based methods require manual encoding of attacks by
human experts. Data mining is one of the
techniques applied to Intrusion Detection that prov
ides higher automation capabilities than
signature-based methods. Data mining techniques suc
h as classification, clustering and
association rules are used in intrusion detection.
In this paper, we present an overview of
intrusion detection, KDD Cup 1999 dataset and detai
led analysis of different classification
techniques namely Support vector Machine, Decision
tree, Naïve Bayes and Neural Networks
used in intrusion detection.
Threat hunting involves proactively searching networks to detect threats like advanced persistent threats that evade existing security systems. It is done through a hunting loop of forming hypotheses based on analytics, intelligence, or situational awareness, investigating through tools and data, uncovering patterns and indicators, and informing analytics. Various methods can be used for hunting like DNS fuzzing to find malicious domains, analyzing passive DNS data, web server logs, emails, and Windows logs. Open source tools used include Maeltego CE, YARA, and AIEngine, while commercial tools are Sqrrl, Exabeam, Infocyte HUNT, Mantix4, and AI Hunter.
Exploring the Social Engineering Toolkit (Set) Using Backtrack 5R3IJERA Editor
Linux Operating System is being reverenced by many professionals because of its versatile nature. As many network security professionals ,particularly those of ethical hackers use linux in an extensive way, did we ever observe how and why the number of hackers were enhancing day to day. Not only professionals ,every one are unleashing their hacking potentials with the help of Backtrack5R3 operating system which is a comprehensive tool kit for security auditing. This paper emphasizes on the so called SET (Social Engineering Toolkit).In a pen-testing scenario, alongside uncovering vulnerabilities in the hardware and software systems and exploiting them ,the most effective of all is penetrating the human mind to extract the desire information. Such devious technics are known as social engineering ,and computer based software tools to facilitate this form the basis of Social Engineering Toolkit
Cyber Defense Forensic Analyst - Real World Hands-on ExamplesSandeep Kumar Seeram
The document discusses analyzing malware using static and dynamic analysis techniques. Static analysis involves examining a malware file's code and structure without executing it, using tools like disassemblers and string extractors. Dynamic analysis executes malware in a controlled environment to observe its behaviors and any changes it makes. The document then demonstrates analyzing the "Netflix Account Generator" malware using an isolated cloud sandbox, where it is observed starting child processes and making outbound network connections, suggesting it is a remote access trojan.
We offer you free sample questions along answers prepared by the professionals of the IT field. You can easily pass your CISSP Test with our Training Kits. For more info please visit here: http://www.certsgrade.com/pdf/CISSP/
Analysis and Design for Intrusion Detection System Based on Data MiningPritesh Ranjan
This document discusses using data mining techniques to improve intrusion detection systems (IDS). It begins by introducing computer network risks and limitations of existing IDS approaches. It then discusses using data mining algorithms like ID3, k-means clustering, and Apriori pattern mining within a hybrid IDS framework. The framework includes sensors to collect host and network data, a data warehouse for storage, and an analysis engine using misuse detection, anomaly detection and data mining algorithms to detect intrusions. It concludes that data mining allows IDS to detect both known and unknown attacks more efficiently.
IRJET- Penetration Testing using Metasploit Framework: An Ethical ApproachIRJET Journal
This document discusses penetration testing using the Metasploit framework. It begins with an introduction to penetration testing and why it is important for ensuring system and network security. It then describes the phases of penetration testing: information gathering, vulnerability analysis, vulnerability exploitation, post exploitation, and report generation. Finally, it discusses using tools in the Metasploit framework like exploits and payloads to conduct penetration testing according to these phases and ethical approaches. The goal is to identify vulnerabilities before attackers can exploit them.
IRJET- Netreconner: An Innovative Method to Intrusion Detection using Regular...IRJET Journal
This document describes NetReconner, an intrusion detection system that uses regular expressions to detect network attacks. It works by capturing network packets using tcpdump and storing them in a file. A detection engine then compares each line of the captured packets to a set of regular expressions that represent known attacks. If a match is found, an alert is generated. The system also allows administrators to add new regular expressions to detect newly discovered attacks. It was developed to provide continuous monitoring of the network to identify malicious traffic in real-time.
This document discusses challenges in detecting lateral movement attacks and proposes a solution using machine learning models. It summarizes:
1) Independent alert streams from security tools create a triage burden and do not capture complex attacks.
2) A combined model is built to detect compromised accounts/machines from Windows event logs, assessing login probability, credential elevation, and other signals.
3) The combined model ranks sessions using gradient descent learning to rank. Testing with penetration testers showed the top-ranked sessions had a 96% precision.
The document describes a hybrid honeypot framework for collecting and analyzing malware. The framework uses both client honeypots and server honeypots controlled by a central honeypot controller. Client honeypots actively visit URLs to detect client-side attacks, while server honeypots passively detect server-side attacks. Collected malware is stored in a central database and analyzed on an analysis server to detect known and unknown malware types through dynamic execution and static analysis. The integrated framework was able to collect thousands of malware samples, including some not detected by antivirus software.
CONTROLLING IP FALSIFYING USING REALISTIC SIMULATIONIJNSA Journal
This document discusses a proposal to develop a new distributed Internet simulator to study large-scale network events like distributed denial-of-service (DDoS) attacks and worm propagation. Existing network simulators have limited scalability and lack realistic Internet models. The proposed simulator would have a built-in Internet topology model and customizeable modules to simulate specific events while cutting down on unnecessary details. It aims to make large-scale network simulation more accessible to researchers and improve the realism of simulations compared to simplified models currently used. The simulator could help study defenses against problems like IP spoofing, DDoS attacks, and worms.
ScenarioSummaryIn this lab, you will explore at least one IDS, IP.docxronnasleightholm
Scenario/Summary
In this lab, you will explore at least one IDS, IPS, or Honeypot currently offered by product vendors and cloud service providers. You will be making a security recommendation, related to the protection of a target network of your choice.
There are a few different paths you may take in this lab, so let's address some of the distinguishing features and definitions that are out there.
IDS and IPS Overview
·
An intrusion detection system (IDS) generally detects and logs known intrusions or anomalous network activity. Generally, no real-time protection actually occurs, therefore false-positives create little or no damage. Optionally, suspicious network traffic can be routed to an alternate network, such as a honeypot.
·
An intrusion protection system (IPS) generally detects, logs, and then blocks known intrusions or anomalous network activity. False-positives are an issue and will result in a self-inflicted denial of service condition. Optionally, suspicious network traffic can be routed to an alternate network, such as a honeypot.
Honeypot Overview
·
Honeypots come in several broad categories. The most common labels we apply to them are research honeypots, active honeypots, and offensive honeypots. They are designed to do what their label suggests, and here is a brief summary.
Note: Seek qualified legal advice before deploying any type of honeypot.
·
Research honeypots generally collect and analyze data about the attacks against a decoy-network. They can also route the attacker to new decoy-networks, to gather more details about the potential attacks. The data gathered are used to understand the attacks and strengthen the potential target networks.
·
Active honeypots have many of the features found in a research honeypot, but they also hold special content that, once taken by the attackers, can be used as evidence by investigators and law enforcement. For example, active honeypots may have database servers containing a fake bank account or credit card information.
·
Offensive honeypots are configured with many of the features of the active honeypots, with one interesting and dangerous addition: they are designed to damage the attacker. When used outside of your own network, this type of honeypot can result in vigilantism, attacks against false-targets, and may result in criminal charges against the honeypot operators. Offensive honeypots are not recommended for non-law-enforcement organizations. However, when used fully within your own network, this technique can detect and neutralize the attacker.
Any of the above services can be implemented on a privately managed network, or through a cloud service. The selection of one platform over another will generally determine where the specific protection occurs—on your network or in the cloud.
The reason for this lab is to give you an understanding of how special network technology can be used as a security research tool, while also providing varying degrees of protection.
Doc.
Insight Brief: Security Analytics to Identify the 12 Indicators of Compromise21CT Inc.
In this security insight brief, 21CT researchers look at the malicious network behaviors that concern organizations the most, and how to use security analytics to find them before damage is done. Understanding these 12 indicators of compromise are critical to identifying a network breach.
For more course tutorials visit
www.newtonhelp.com
Project 1
Step 1: Conduct a Security Analysis Baseline
In the first step of the project, you will conduct a security analysis baseline of the IT systems, which will include a data-flow diagram of connections and endpoints, and all types of access points
For more course tutorials visit
www.newtonhelp.com
Project 1
Step 1: Conduct a Security Analysis Baseline
In the first step of the project, you will conduct a security analysis baseline of the IT systems, which will include a data-flow diagram of connections and endpoints, and all types of access points, including wireless. The baseline
Cst 630 Education is Power/newtonhelp.comamaranthbeg73
For more course tutorials visit
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Project 1
Step 1: Conduct a Security Analysis Baseline
In the first step of the project, you will conduct a security analysis baseline of the IT systems, which will include a data-flow diagram of connections and endpoints, and all types of access points, including wireless. The baseline report will be part of the overall security assessment report (SAR).
You will get your information from a data-flow diagram and report from the Microsoft Threat Modeling Tool 2016. The scope should include network IT security for the whole organization. Click the following to view the data-flow diagram: [diagram and report]
Are you ready for the next attack? Reviewing the SP Security ChecklistAPNIC
The document discusses the importance of using checklists to optimize security operations. It provides an initial security checklist for internet service providers (ISPs) to assess positive control, virtual terminal access control lists (VTY ACLs), vendor security partnerships, upgrade plans, IPv6 security, attack tree analysis, border gateway protocol (BGP) policies, DNS architecture resilience, and developing a security community. The checklist highlights key areas ISPs should review to strengthen their defenses against evolving cyber threats from criminals, hackers, and nation states. Regular use of such checklists is encouraged to proactively address vulnerabilities before exploits can be launched.
Are you ready for the next attack? reviewing the sp security checklist (apnic...Barry Greene
Rethinking Security and how you can Act on Meaningful Change
What the industry recommends to protect your network is NOT working! The industry is stuck in a dysfunctional ecosystem that encourages the cyber-criminal innovation at the cost to business and individual loss throughout the world. We do not need a “Manhattan Project” for the security of the Internet. What we need are tools to help operators throughout the world ask the right question that would lead them to meaningful action. Security empowerment must empower the grassroots and provide the tools to push back on the root cause. This talk will explore these issues, highlight the dysfunction in our “security” economy, and present “take home” tools that would facilitate immediate action.
This document provides an overview of the entire CIS 333 course from SNAP Tutorial, including discussions, labs, assignments, and exams. The course covers topics such as providing security over data, risk management, cryptography, malware, and eliminating threats with a layered security approach. Labs involve tasks like performing reconnaissance and probing with common tools, enabling Windows Active Directory controls, and packet capture analysis. Assignments require identifying potential attacks and vulnerabilities, and developing risk response and recovery plans. The document lists the materials included for each week of the course.
This document provides an overview of network security concepts. It begins by stating the goals of network security are to protect confidentiality, maintain integrity, and ensure availability. It then discusses common network security vulnerabilities and threats that can arise from misconfigured hardware/software, poor network design, inherent technology weaknesses, end-user carelessness, or intentional end-user acts. The document also covers the need for network security due to increased connectivity from closed to open networks and differentiates between open versus closed security models. It emphasizes striking a balance between security and user productivity.
This document discusses the importance of information and communication technology (ICT) security and provides guidance on developing an effective security policy. It recommends performing a risk analysis to identify valuable assets, potential threats, and the likelihood and costs of attacks. This will help determine the appropriate level of security needed. The document also stresses the importance of documenting security procedures and developing a clear, enforceable policy to communicate expectations and responsibilities for maintaining a secure network environment.
The document provides an overview of honeypots and guidelines for setting up and running a research honeynet. It defines honeypots and differentiates between research and production honeypots. It outlines technical requirements for setting up a honeynet, including separating it from other networks, controlling data flow, and capturing data for analysis. It discusses insights that can be gained about attackers' tools and behaviors from observing compromised honeypots. Specifically, it notes the prevalence of script kiddies scanning for vulnerabilities and how they indicate inexperienced attackers may still pose risks if configurations are not secure.
Include at least 250 words in your posting and at least 250 words inmaribethy2y
Include at least 250 words in your posting and at least 250 words in your reply. Indicate at least one source or reference in your original post. Please see syllabus for details on submission requirements.
Module 1 Discussion Question
Search "scholar.google.com" for a company, school, or person that has been the target of a network
or system intrusion? What information was targeted? Was the attack successful? If so, what changes
were made to ensure that this vulnerability was controlled? If not, what mechanisms were in-place to protect against the intrusion.
Reply-1(Shravan)
Introduction:
Interruption location frameworks (IDSs) are programming or equipment frameworks that robotize the way toward observing the occasions happening in a PC framework or system, examining them for indications of security issues. As system assaults have expanded in number and seriousness in the course of recent years, interruption recognition frameworks have turned into an essential expansion to the security foundation of generally associations. This direction archive is planned as a preliminary in interruption recognition, created for the individuals who need to comprehend what security objectives interruption location components serve, how to choose and design interruption discovery frameworks for their particular framework and system situations, how to deal with the yield of interruption identification frameworks, and how to incorporate interruption recognition capacities with whatever remains of the authoritative security foundation. References to other data sources are likewise accommodated the peruse who requires particular or more point by point guidance on particular interruption identification issues.
In the most recent years there has been an expanding enthusiasm for the security of process control and SCADA frameworks. Moreover, ongoing PC assaults, for example, the Stunt worm, host appeared there are gatherings with the inspiration and assets to viably assault control frameworks.
While past work has proposed new security components for control frameworks, few of them have investigated new and in a general sense distinctive research issues for anchoring control frameworks when contrasted with anchoring conventional data innovation (IT) frameworks. Specifically, the complexity of new malware assaulting control frameworks - malware including zero-days assaults, rootkits made for control frameworks, and programming marked by confided in declaration specialists - has demonstrated that it is exceptionally hard to avert and identify these assaults dependent on IT framework data.
In this paper we demonstrate how, by joining information of the physical framework under control, we can distinguish PC assaults that change the conduct of the focused on control framework. By utilizing information of the physical framework we can center around the last goal of the assault, and not on the specific instruments of how vulnerabilities are misused, and how ...
This document discusses securing healthcare networks against cyber attacks. It proposes using intrusion detection systems to continuously monitor networks, firewalls to ensure endpoint devices comply with security policies, and biometrics for identity-based network access control. This would help protect patient privacy by safeguarding electronic health records and enhancing the security of hospital networks. The growing adoption of electronic records and devices in healthcare has increased risks of attacks that could intercept patient data or take over entire hospital networks. Strong network security measures are needed to address these risks.
This document proposes a machine learning approach using the Naive Bayes algorithm to detect distributed denial of service (DDoS) attacks through network intrusion detection. It first discusses the issues with existing intrusion detection systems, including long training times and low accuracy. It then summarizes research on applying various machine learning techniques like neural networks, decision trees, and Naive Bayes to intrusion detection. The proposed system would build a classifier using Naive Bayes, which provides faster training than other methods, to distinguish normal and attack traffic. This approach aims to improve upon the training time and detection accuracy of existing intrusion detection systems.
Defense mechanism for ddos attack through machine learningeSAT Journals
Abstract
There is a huge advancement in Computer networking in the past decade. But with the advancement, the threats to the computer networks are also increased. Today one of the biggest threats to the computer networks is the Distributed Denial of Service (DDoS) flooding attack. This paper emphasizes the application layer DDoS flooding attacks because these (layer seven) attacks are growing rapidly and becoming more severe problem. Many researchers used machine-learning techniques for intrusion detection, but some shows poor detection and some methods take more training time. From a survey, it is found that Naïve Bayes (NB) algorithm provides faster learning/training speed than other machine learning algorithms. Also it has more accuracy in classification and detection of attack. So we are proposing a network intrusion detection system (IDS) which uses a machine learning approach with the help of NB algorithm.
Keywords: DDoS (Distributed Denial of Service) flooding attack, Machine Learning, Naïve Bayes, Network Intrusion Detection
CMST&210 Pillow talk Position 1 Why do you think you may.docxmccormicknadine86
CMST&210 Pillow talk
Position 1
Why do you think you may be right?
Why do you think they may be wrong?
I’m right because:
You are wrong because:
Position 2
Why do you think they may be right?
Why do you think you may be wrong?
I’m wrong because:
You are right because:
Position 3
What are you BOTH right about?
What are you BOTH wrong about? Acknowledge
the strengths and weaknesses of EACH
perspective.
I’m right because:
I’m also wrong because:
You are right because:
You are also wrong because:
Position 4:
Why do you think the issue you are discussing is
NOT as important as it seems? What are your
true needs?
For me?
For you?
Position 5: There is truth in ALL FOUR
perspectives. You may not change your mind and
try to look and SEE the truth in each perspective.
For my perspective these things are true.
For your perspective these things are true.
Cloud Computing
Chapter 9
Securing the Cloud
Learning Objectives
List the security advantages of using a cloud-based provider.
List the security disadvantages of using a cloud-based provider.
Describe common security threats to cloud-based environments.
Physical Security
IT data centers have been secured physically to prevent users who do not have a need to physically touch computers, servers, and storage devices from doing so.
A general security rule is that if an individual can physically touch a device, the individual can more easily break into the device.
Advantages of Cloud Providers with Respect to Security
Immediate deployment of software patches
Extended human-relations reach
Hardware and software redundancy
Timeliness of incident response
Specialists instead of personnel
Disadvantages of Cloud-Based Security
Country or jurisdiction issues
Multitenant risks
Malicious insiders
Vendor lock in
Risk of the cloud-based provider failing
Real World: McAfee Security as a Service
McAfee now offers a range of security solutions that deploy from the cloud. The solutions protect e-mail (spam, phishing, redirection, and virus elimination), websites, desktop computers, mobile devices, and more.
Data Storage Wiping
Within a cloud-based disk storage facility, file wiping overwrites a file’s previous contents when the file is deleted.
Denial of Service Attacks
A denial-of-service attack is a hacker attack on a site, the goal of which is to consume system resources so that the resources cannot be used by the site’s users.
The motivation for and the implementation of denial-of-service attacks differ.
Simple Denial of Service
:Loop
ping SomeSite.com
GOTO Loop
While responding to the ping message, the server can handle fewer other requests.
Distributed Denial of Service
(DDOS) Attack
A distributed denial-of-service (DDoS) attack uses multiple computers distributed across the Internet to attack a target site
Packet Sniffing Attacks
Network ap ...
Ethical Hacking Interview Questions and Answers.pdfShivamSharma909
Ethical hacking is testing an organization's security systems to identify vulnerabilities by simulating cyber attacks. Ethical hackers conduct penetration tests to find vulnerabilities and help organizations strengthen their defenses against real attacks. There is increasing demand for ethical hackers from government agencies and private companies. Becoming an ethical hacker requires strong knowledge of networking and hacking techniques.
This document provides a 7-step guide for organizations to survive a web attack. It begins with understanding the threat actor and developing a security response plan. The next steps involve locating all applications and servers, scanning them for vulnerabilities, and strengthening application, network, and endpoint security controls. The guide also provides tips for protecting against distributed denial of service attacks and application layer attacks. Overall, it aims to help organizations facing an impending web attack by providing a well-thought out strategy to identify risks and harden their defenses.
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
Similar to Sec 572 Effective Communication / snaptutorial.com (20)
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
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বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Assessment and Planning in Educational technology.pptxKavitha Krishnan
In an education system, it is understood that assessment is only for the students, but on the other hand, the Assessment of teachers is also an important aspect of the education system that ensures teachers are providing high-quality instruction to students. The assessment process can be used to provide feedback and support for professional development, to inform decisions about teacher retention or promotion, or to evaluate teacher effectiveness for accountability purposes.
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Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
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Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Sec 572 Effective Communication / snaptutorial.com
1. SEC 572 Week 1 iLab Denial of Service
Attacks
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SEC 572 Week 1 iLab Denial of Service Attacks
In this lab, you will discover and analyze one of two different real
network attacks. This will give you insight into the motivation,
vulnerabilities, threats, and countermeasures associated with your
selected network attack.
There are two categories of network attacks you will be concerned
with this week. The first is a network denial of service (DoS) attack,
and the second is a targeted attack on a network device connected to
the network. You will also discover the distributed denial of service
(DDoS) attack and you may use that one as well. The key difference
between a DoS and a DDoS attack is that the DDoS attack is launched
towards the target from numerous source locations. A botnet attack is
an example of a DDoS attack.
Your goal is to select a specific instance of one type of attack and
provide a managerial-style awareness document. Assume that you are
delivering your analysis to business or government managers who
have a general understanding of network communications.
The reason for the choice of two different attacks is to allow you to
select a broad or narrow focus for your work. This will also give you
a high probability of discovering a very current attack.
In general, the network denial of service attack may significantly
diminish the network's ability to properly communicate. The result
will be a loss of service, such as the inability to access a website's
home page. The DoS attacks have ranged from a large global
2. footprint to a specific target network endpoint. For example, the SQL
slammer worm was a global DoS attack, lasting for days and
requiring server modifications. In contrast, selected websites were
shut down by hacker groups, such as the hacktivist collective
Anonymous, requiring support from the ISPs and firewall vendors.
The targeted attack on a network device can result in a DoS as well,
but it uses the current network to deliver the destructive payload to
the target system. For example, a SQL injection attack's target is the
database server, with the Internet and the corporate network actually
delivering the destructive payload to the target. Furthermore, this type
of attack may leave the network functional because it uses it to
propagate to other devices or uses the victim's network to launch other
attacks.
Each section of your report may require 1–6 sentences to properly
address the topic. For example, the attack discovery and resolution
dates will be one sentence, whereas the synopsis of the attack will
require about six sentences. Your primary goal is to provide the
reader valuable information about the attack.
Lab Document Framework
• Name of the attack
• Attack discovery and resolution dates
• Synopsis of the attack
• Vulnerable target(s) for the attack and likely victims
• Probable motivation(s) of the attack
• Probable creators of the attack
• Deployment, propagation, or release strategy of the attack
• Published countermeasures against the attack
• Published recovery techniques used to return to normal operations
after the attack
• Recommended incident reporting measures
• Citations and resources used in this report
*******************************************************************************
SEC 572 Week 2 Network Security
3. For more classes visit
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SEC 572 Week 2 Network Security
*******************************************************************************
SEC 572 Week 3 iLab MD5 Best and Worst
Use Cases
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SEC 572 Week 3 iLab MD5 Best and Worst Use Cases
In this lab, you will explore the best and worst use of a popular
message digest algorithm. For this one, we shall focus on MD5, but
all of this can be applied to the other ones, such as SHA-1.
In the best use portion, you will discover and outline a specific
implementation of the MD5 algorithm, where it provides high value
and a very low security risk.
In contrast, in the worst use portion, you will attempt to crack an
MD5 hash (this is ethical hacking) and suggest a scenario where the
worst use practice may actually be implemented.
The reason for this lab is to give you an understanding of how
cryptography can be properly and improperly used and how changes
in technology may serve to weaken trusted cryptographic
applications.
4. Best Use of MD5 or SHA-1: Outline a scenario where the MD5 or
SHA-1 algorithms are put to good and proper use. Start by stating
what the algorithm does and give a use case where either MD5 or
SHA-1 has a best fit condition. It is generally about 5–10 sentences.
Ethical Hacking of MD5: Copy the following text into your lab
document and fill in the blanks.
MD5 Hash 1: 4eefef62c45d66f55d89c515d8352c5c Input was: _____
MD5 Hash 2: 5f4dcc3b5aa765d61d8327deb882cf99 Input was:
_____
MD5 Hash 3: d6a6bc0db10694a2d90e3a69648f3a03 Input was:
_____
Worst Use of MD5 or SHA-1: Outline a scenario where the MD5 or
SHA-1 algorithms are put to poor or improper use. Start by stating
what improper assumptions were made and how it did (or could) lead
to a security compromise. It is generally about 5–10 sentences.
Citations and Resources Used in This Report: Tell us where you
received external guidance and ideas. If you have presented original
ideas, then give yourself credit, and tell us why you believe it is
correct.
*******************************************************************************
SEC 572 Week 4 iLab Intrusion Detection
Systems
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5. SEC 572 Week 4 iLab Intrusion Detection Systems
Lab Document Framework
The Target Network: Indicate the type of activities and data that it
supports in a few sentences. For example, it is the website for an
educational institution that holds personal academic and financial
information, or it is the network used to control devices in a chemical
plant. Use your imagination, but select something that is real and
meaningful to you.
The Protection System: Select one from the presented list (Step 2), or
choose your own protection technology, if it is highly relevant.
The Body of the Management Briefing Document: See the guidance
in Step 3. It is generally about 4 to 10 paragraphs.
Citations and Resources Used in this Report: Tell us where you
received external guidance and ideas. If you have presented original
ideas, then give yourself credit, and tell us why you believe it is
correct.
Step 1
Broadly outline the target network. Indicate the type of activities and
data that it supports in a few sentences.
Step 2
Select the protection system. Choose from one of the following.
Intrusion detection system (IDS)
Intrusion protection system (IPS)
Research honeypot
Active honeypot
Offensive honeypot
Step 3
Create a management briefing document that will inform senior
decision makers about their options, vendors, products, relevant
examples, and issues associated with your selected protection (from
Step 2). If cost can be identified, then please include that information
as well. It is generally about 4 to 10 paragraphs.
6. In this lab, you will explore at least one IDS, IPS, or Honeypot
currently offered by product vendors and cloud service providers.
You will be making a security recommendation, related to the
protection of a target network of your choice.
There are a few different paths you may take in this lab, so let's
address some of the distinguishing features and definitions that are
out there.
IDS and IPS Overview
An intrusion detection system (IDS) generally detects and logs known
intrusions or anomalous network activity. Generally, no real-time
protection actually occurs, therefore false-positives create little or no
damage. Optionally, suspicious network traffic can be routed to an
alternate network, such as a honeypot.
An intrusion protection system (IPS) generally detects, logs, and then
blocks known intrusions or anomalous network activity. False-
positives are an issue and will result in a self-inflicted denial of
service condition. Optionally, suspicious network traffic can be routed
to an alternate network, such as a honeypot.
Honeypot Overview
Honeypots come in several broad categories. The most common
labels we apply to them are research honeypots, active honeypots, and
offensive honeypots. They are designed to do what their label
suggests, and here is a brief summary.
Note: Seek qualified legal advice before deploying any type of
honeypot.
Research honeypots generally collect and analyze data about the
attacks against a decoy-network. They can also route the attacker to
new decoy-networks, to gather more details about the potential
attacks. The data gathered are used to understand the attacks and
strengthen the potential target networks.
Active honeypots have many of the features found in a research
honeypot, but they also hold special content that, once taken by the
attackers, can be used as evidence by investigators and law
enforcement. For example, active honeypots may have database
servers containing a fake bank account or credit card information.
7. Offensive honeypots are configured with many of the features of the
active honeypots, with one interesting and dangerous addition: they
are designed to damage the attacker. When used outside of your own
network, this type of honeypot can result in vigilantism, attacks
against false-targets, and may result in criminal charges against the
honeypot operators. Offensive honeypots are not recommended for
non-law-enforcement organizations. However, when used fully within
your own network, this technique can detect and neutralize the
attacker.
Any of the above services can be implemented on a privately
managed network, or through a cloud service. The selection of one
platform over another will generally determine where the specific
protection occurs—on your network or in the cloud.
The reason for this lab is to give you an understanding of how special
network technology can be used as a security research tool, while also
providing varying degrees of protection.
Each section will vary in size based on the requirements. Drive
yourself to create a useful document for the direction you have
selected.
*******************************************************************************
SEC 572 Week 5 iLab VPN
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SEC 572 Week 5 iLab VPN
8. Lab Document Framework
• Potentially Acceptable VPN Solution:State the general
characteristics of one solution that meets the security and user
requirements. Name the vendor(s) and VPN services. It is generally
about 3 sentences.
• VPN Solution Overview:Outline the technical functionality and
customer requirements of your first choice for a VPN service. This
may take the form of a feature chart that is mapped to the
requirements. Include any special conditions, limitations, or
exceptions that exist. It is generally about 2 pages.
• Network Design Illustration:Using a graphic illustration tool, such
as Visio, document the logical design of your VPN solution. It is
generally about 2 pages.
• Citations and Resources Used in this Report:Tell us where you
received external guidance and ideas. If you have presented original
ideas, then give yourself credit and tell us why you believe it is
correct.
*******************************************************************************
SEC 572 Week 6 iLab
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SEC 572 iLab 6
Lab Document Framework
• Requirements and Policies of the Secure Wireless Network:State the
requirements and general security policies that will drive your design
of a secure wireless network at the SOHO. It should be about 5–10
sentences or bullet points.
9. • Secure Wireless Network Solution Overview:Outline the technical
functionality and customer requirements of your secure wireless
network. Tell us what the design can do. Include any special
conditions, limitations, or exceptions that exist. It should be about 5–
10 sentences or bullet points.
• Secure Wireless Network Design Illustration:Using a graphic
illustration tool, such as Visio, document the logical design of your
secure wireless network design. It should be about two pages.
• Citations and Resources Used in This Report:Tell us where you
received external guidance and ideas. If you have presented original
ideas, give yourself credit, and tell us why you believe it is correct.
During Week 2, you should have completed iLab 2 of 6: Best
Practices for Securing a Wireless Network in a SOHO—The Policy
Statement, Processes, and Procedures Guidelines. In this lab, you will
explore, select, and justify the selection of a secure wireless network
for that (iLab 2) SOHO environment. You shall actually identify the
hardware and software needed to support the network security
policies and user requirements.
The reason for this lab is to allow you to experience the wireless
network technology selection process while working with a typical set
of requirements and the current industry offerings.
Basic Wireless Network Requirements and Assumptions
Consult your iLab 2 of 6: Best Practices for Securing a Wireless
Network in a SOHO—The Policy Statement, Processes, and
Procedures Guidelines for a foundation to your design requirements.
Create your own user requirements that are reasonable and typical for
a SOHO.
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10. • Secure Wireless Network Solution Overview:Outline the technical
functionality and customer requirements of your secure wireless
network. Tell us what the design can do. Include any special
conditions, limitations, or exceptions that exist. It should be about 5–
10 sentences or bullet points.
• Secure Wireless Network Design Illustration:Using a graphic
illustration tool, such as Visio, document the logical design of your
secure wireless network design. It should be about two pages.
• Citations and Resources Used in This Report:Tell us where you
received external guidance and ideas. If you have presented original
ideas, give yourself credit, and tell us why you believe it is correct.
During Week 2, you should have completed iLab 2 of 6: Best
Practices for Securing a Wireless Network in a SOHO—The Policy
Statement, Processes, and Procedures Guidelines. In this lab, you will
explore, select, and justify the selection of a secure wireless network
for that (iLab 2) SOHO environment. You shall actually identify the
hardware and software needed to support the network security
policies and user requirements.
The reason for this lab is to allow you to experience the wireless
network technology selection process while working with a typical set
of requirements and the current industry offerings.
Basic Wireless Network Requirements and Assumptions
Consult your iLab 2 of 6: Best Practices for Securing a Wireless
Network in a SOHO—The Policy Statement, Processes, and
Procedures Guidelines for a foundation to your design requirements.
Create your own user requirements that are reasonable and typical for
a SOHO.
*******************************************************************************