Network Intrusion Detection Systems (NIDSs) Configuration and Deployment

User Generated

zrxrgurqba

Computer Science

CTCH 655

University of Maryland Global Campus

Description

Purpose

This assignment is related to the assignment you submitted in Unit 3. Please complete this assignment only after you have finished the Unit 3 Assignment.

To finish your second task for the mayor of Gotham, you will consider the function of network intrusion detection systems (NIDSs) and proper deployment strategies. You will explore the various types of attacks that NIDS sensors can detect and identify the limitations of these sensors. Additionally, you will analyze how NIDS rules and policies should align with an organization's security needs. Finally, you will develop a recommended NIDS configuration, including details on selected sensors, detection policies, and deployment.

Instructions: Include the following elements in a Word document with relevant headings. Submit your work in the Project 2 Part B template. Your written response should be tailored to the issues related to the Gotham City project, which has hired you as a consultant. Your response should be between 4 and 5 pages, single-spaced.

Before you get started on this research paper, you may want to review how to evaluate resources, manage information ethically, and how to create a statement of the problem.

Task

Introduction:

  1. Provide a brief overview of network intrusion detection systems (NIDSs) and their importance in network security.
  2. Describe the purpose of the project and its significance in the field of information technology.

Function and Limitations of NIDS Sensors:

  1. Explain the function of NIDS sensors in detecting and alerting network-based attacks.
  2. Discuss the attacks that NIDS sensors can detect and provide examples.
  3. Identify the types of attacks that NIDS sensors may not be able to detect effectively and explain the reasons behind these limitations.

Alignment of NIDS Rules and Policies With Organizational Security Needs:

  1. Discuss the importance of aligning NIDS rules and policies with an organization's security needs.
  2. Explain how NIDS rules and policies can be customized to address specific threats and vulnerabilities.
  3. Provide examples of scenarios where different rule sets or policies may be required based on the organization's security requirements.

Deployment of Host-Based vs. Network-Based NIDS Agents:

  1. Differentiate between host-based and network-based NIDS agents.
  2. Discuss the factors that should be considered when deciding whether to deploy host-based or network-based NIDS agents.
  3. Recommend when and where organizations should deploy host-based or network-based NIDS agents based on different IT infrastructure setups and security policies.

Recommended NIDS Configuration:

  1. Develop recommendations for the NIDS configuration.
  2. Include details on the selected NIDS sensors, their placement within the network infrastructure, and the rationale behind their selection.
  3. Specify the detection policies and rules that should be implemented to establish effective threat detection coverage.
  4. Justify the recommended deployment strategy based on the organization's security needs and the characteristics of the IT infrastructure.

Unformatted Attachment Preview

Unit 3 Hands-on Exercise: Documentation Requirements The objective of this hands-on exercise is to prepare you for real-world scenarios in network security and intrusion detection. You will gain skills in installing and configuring Suricata, managing network security rules, and interpreting NIDS alerts. This activity emphasizes the practical aspects of cybersecurity, testing NIDS effectiveness with simulated attacks, and understanding network traffic analysis. To start your second task for the mayor of Gotham, you will identify potential intrusions or suspicious network activities flagged by the NIDS. This hands-on exercise focuses on providing experience in deploying and utilizing Suricata, a network intrusion detection system (NIDS), on Windows. Hands-On Exercise Instructions: Perform the following exercises in MARS, the virtual learning environment. Follow the steps in each exercise below, taking screenshots as you go along and inputting the information and documentation in a Word document using the template provided in the submission instructions below. Exercise 1 Exercise 2 1. Document the suspicious traffic captured by Suricata. A. Analyze the findings to identify patterns, recurring alerts, and areas for further improvement. Recurrence of IP Addresses: Notably, certain source IPs appear multiple times across different types of alerts. This suggests these may be significant threat actors, potentially necessitating IP blocking. Common Events: SQL injection and port scan attempts appear frequently. SQL injection attempts may indicate an adversary probing for vulnerabilities in web applications. 2. Summarize the key findings from each exercise and the overall experience of deploying and finetuning NIDS configurations? Project instructions needed more explanation on how to better execute. 3. Discuss the importance of a NIDS in network security and intrusion detection. A Network Intrusion Detection System (NIDS) plays a crucial role in keeping networks secure by keeping an eye on traffic for any potential threats. o o o o o o o o o It spots threats in real-time, enabling swift action against suspicious activities like unauthorized access and malware. NIDS offers a thorough view of network traffic, which helps in recognizing patterns and unusual behaviors. It employs a variety of detection techniques to catch both known and unknown attacks. NIDS supports incident response by logging events and analyzing traffic data. It assists organizations in meeting compliance standards through diligent monitoring and reporting. The logs generated by NIDS are invaluable for forensic analysis after an incident occurs. It works seamlessly with other security systems to create a more robust defense. NIDS prioritizes alerts to enhance resource efficiency and minimize alert fatigue. Consistent monitoring empowers organizations to bolster their security posture by addressing vulnerabilities effectively. Professor, I know I didn’t finish the Project the note pad isn’t loading up to finish the steps. Also, nothing is generating in the notepad when it loads up. I spoke with some of my classmates for help we are all having somewhat similar issues with this Project. I am open to all criticism, standing by for feedback Sir. Key Findings Network Intrusion Detection (NID) is important for spotting and responding to security threats quickly, reducing potential cyber attack damage. Suricata, an open-source threat detection engine, provides intrusion detection, prevention, and network security monitoring. Effective NID systems depend on well-managed and regularly updated rule sets to identify attack patterns. Analyzing traffic helps distinguish normal behavior from threats, although not all alerts indicate real dangers, requiring skilled security teams for effective management. Simulated attacks help fine-tune systems like Suricata, and integrating with SIEM tools improves analysis. Good performance in high-traffic areas is essential, as is the collaboration fostered by Suricata's opensource nature, which also meets regulatory needs and enhances security trust. Importance of Network Intrusion Detection The Importance of Network Intrusion Detection Network Intrusion Detection Systems (NIDS), such as Suricata, are essential in today’s cybersecurity landscape. They keep a close eye on network traffic to spot any suspicious activities or potential intrusions. Here’s why NIDS are vital for maintaining network security: Threat Identification: NIDS continuously monitor network traffic, allowing them to catch a variety of security threats, from malware infections to unauthorized access and unusual behaviors that could signal a breach. Real-time Alerts: One of the standout features of NIDS is their ability to send real-time alerts when they detect suspicious activities. This gives security teams the chance to act quickly and address potential threats before they escalate into serious attacks. Traffic Analysis: NIDS don’t just stop at detecting threats; they also analyze traffic patterns to spot any odd behaviors, like sudden spikes in traffic to certain ports, which could indicate an ongoing attack. Compliance and Reporting: Many industries must follow strict regulations regarding data security. NIDS help organizations stay compliant by offering logging and reporting features that are crucial for audits. Threat Intelligence Integration: Many NIDS solutions work hand-in-hand with threat intelligence platforms, allowing them to leverage external data to boost their detection capabilities against known threats. Day-to-Day Security Monitoring: Beyond pinpointing specific attacks, NIDS provide valuable insights over time about an organization’s network health. This helps track how effective security policies are and highlights areas that need improvement. Forensic Analysis: If a security incident occurs, the logs generated by NIDS become invaluable for forensic investigations. They help security analysts piece together the methods and impacts of the attack. Resource Efficiency: By automating the detection of suspicious activities, NIDS free up security teams to focus on analyzing alerts and responding to serious threats, rather than spending their time manually monitoring network traffic. Conclusion By setting up and configuring Suricata as a Network Intrusion Detection System (NIDS) on Windows, you'll dive into a practical experience that really brings these concepts to life. You'll get to grips with the finer points of configuration, learn how to create effective monitoring rules, and understand how to interpret alerts that signal possible intrusions. This hands-on approach will set you up for a thriving career in cybersecurity if the steps are straightforward.
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Explanation & Answer

Attached.

1

Project 2 Part B: Network Intrusion Detection Systems (NIDS) Configuration and
Deployment

Name
Institution Affiliation
Date

2
Project 2 Part B: Network Intrusion Detection Systems (NIDS) Configuration and
Deployment
Introduction
Network Intrusion Detection Systems ( NIDSs) are security applications built to
recognize suspicious activities and vulnerabilities in a network (Vaigandla et al., 2022). They
aid in identifying hacking attempts before actual damage occurs.
Functions and Limitations of NIDS Sensors
The devices are the core components of NIDS. The NIDS sensors' functions include
monitoring network traffic. Security personnel position them at strategic points in a network
to assess incoming and outgoing traffic.
Alignment of NIDS Rules and Policies
The success of the NIDS critically depends on the way the systems are aligned with
the security necessities of the organization they are built to protect. Recommended NIDS
Configuration
Rules and Policies
The implementation of multi-layered security approaches is necessary for
organizations to ensure effective coverage for threat detection.
Justification for the Recommended Deployment Strategy
The recommended strategy aligns with the diverse security requirements, including
in-depth defense codes, while ensuring a combination of sensor placements for adequate
visibility. Additionally, the strategy allows the hybrid detection for the identification of the
known and unknown threats. Additionally, the strategy entails reliable IT infrastructural
characteristics.
Conclusion
Today, organizations are experiencing high levels of internet-based threats, hence
affecting the effectiveness of the work environment. References
Hadi, H. J., Ahmad, N., Aziz, K., Cao, Y., & Alshara, M. A. (2024). Cost-Effective Resilience: A
Comprehensive Survey and Tutorial on Assessing Open-Source Cybersecurity Tools for
Multi-Tiered Defense. IEEE Access.
https://www.researchgate.net/publication/386412879_CostEffective_Resilience_A_Comprehensive_Survey_and_Tutorial_on_Assessing_OpenSource_Cybersecurity_Tools_for_Multi-Tiered_Defense
Joraviya, N., Gohil, B. N., & Rao, U. P. (2024). DL-HIDS: deep learning-based host intrusion detection
system using system calls-to-image for containerized cloud environment. The Journal of
Supercomputing, 80(9), 12218-12246.
https://www.researchgate.net/publication/378106049_DL-HIDS_deep_learningbased_host_intrusion_detection_system_using_system_calls-toimage_for_containerized_cloud_environment

Lupari, P. (2021). Detecting Anomalies in TLS Traffic Using Encrypted Traffic Analysis.
https://www.theseus.fi/bitstream/handle/10024/503256/Thesis_Lupari_Pekka.pdf?seq
uence=2
Martins, I., Resende, J. S., Sousa, P. R., Silva, S., Antunes, L., & Gama, J. (2022). Hostbased IDS: A review and open issues of an anomaly detection system in IoT. Future

3
Generation Computer Systems, 133, 95-113.
https://www.researchgate.net/publication/359256626_Hostbased_IDS_A_review_and_open_issues_of_an_anomaly_detection_system_in_IoT
Panagiotou, P., Mengidis, N., Tsikrika, T., Vrochidis, S., & Kompatsiaris, I. (2021). Hostbased intrusion detection using signature-based and AI-driven anomaly detection
methods. Information & Security, 50(1), 37-48. https://m4d.iti.gr/wpcontent/uploads/2022/12/Host-based-intrusion-detection-using-signature-based-andAI-driven-anomaly-detection-methods_final.pdf
Sikora, M., Fujdiak, R., Kuchar, K., Holasova, E., & Misurec, J. (2021). It is a generator of
slow denial-of-service cyber attacks. Sensors, 21(16), 5473.
https://www.mdpi.com/1424-8220/21/16/5473
Tsantikidou, K., & Sklavos, N. (2024). Threats, attacks, and cryptography frameworks of
cybersecurity in critical infrastructures. Cryptography, 8(1), 7.
https://www.mdpi.com/2410-387X/8/1/7
Vaigandla, K., Azmi, N., & Karne, R. (2022). Investigation on intrusion detection systems
(IDSs) in IoT. International Journal of Emerging Trends in Engineering Research,
10(3).https://www.researchgate.net/profile/KarthikVaigandla/publication/359218384_Investigation_on_Intrusion_Detection_Systems_I
DSs_in_IoT/links/622f58799bb94f251c22c640/Investigation-on-Intrusion-DetectionSystems-IDSs-in-IoT.pdf


1

Project 2 Part B: Network Intrusion Detection Systems (NIDS) Configuration and
Deployment

Name
Institution Affiliation
Date

2
Project 2 Part B: Network Intrusion Detection Systems (NIDS) Configuration and
Deployment
Introduction
Network Intrusion Detection Systems ( NIDSs) are security applications built to
recognize suspicious activities and vulnerabilities in a network (Vaigandla et al., 2022). They
aid in identifying hacking attempts before actual damage occurs. The cybersecurity tools
continuously monitor traffic in a network and notify administrators about a possible attac...

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