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:
- Provide a brief overview of network intrusion detection systems (NIDSs) and their importance in network security.
- Describe the purpose of the project and its significance in the field of information technology.
Function and Limitations of NIDS Sensors:
- Explain the function of NIDS sensors in detecting and alerting network-based attacks.
- Discuss the attacks that NIDS sensors can detect and provide examples.
- 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:
- Discuss the importance of aligning NIDS rules and policies with an organization's security needs.
- Explain how NIDS rules and policies can be customized to address specific threats and vulnerabilities.
- 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:
- Differentiate between host-based and network-based NIDS agents.
- Discuss the factors that should be considered when deciding whether to deploy host-based or network-based NIDS agents.
- 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:
- Develop recommendations for the NIDS configuration.
- Include details on the selected NIDS sensors, their placement within the network infrastructure, and the rationale behind their selection.
- Specify the detection policies and rules that should be implemented to establish effective threat detection coverage.
- Justify the recommended deployment strategy based on the organization's security needs and the characteristics of the IT infrastructure.
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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...
