Advances in Engineering Innovation

Advances in Engineering Innovation

Vol. 2, 07 October 2023


Open Access | Article

Router forensics: Navigating the digital crossroads

Maha Nawaf * 1
1 Saint Leo University

* Author to whom correspondence should be addressed.

Advances in Engineering Innovation, Vol. 2, 32-37 Advances in Engineering Innovation,
Published 07 October 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Maha Nawaf. Router forensics: Navigating the digital crossroads. AEI (2023) Vol. 2: 32-37. DOI: 10.54254/2977-3903/2/2023018.

Abstract

As the digital landscape continues to evolve, routers have become central gatekeepers, governing the flow of information in networks. This study delves deep into the realm of router forensics, focusing on the methodologies and techniques employed to extract and analyze forensic data from these pivotal devices. Drawing upon both traditional and contemporary approaches, our research underscores the significance of router logs, volatile data, and the challenges that arise in their forensic analysis. We highlight the pressing need for standardized forensic protocols, especially in the face of diverse router architectures and rapidly emerging cyber threats. Our study also emphasizes the potential of leveraging advanced technologies, such as machine learning, in enhancing forensic capabilities. By providing a comprehensive overview of the current state of router forensics and shedding light on potential future trajectories, this research aims to fortify the cybersecurity community's arsenal against escalating cyber threats, ensuring a more secure and resilient digital ecosystem.

Keywords

router forensics, volatile data analysis, cybersecurity threats, forensic protocols, machine learning in forensics

References

1. Smith, J. (2018). Digital Pathways: An Introduction to Network Forensics. CyberTech Publishers.

2. Chen, L., Zhou, J., & Wang, H. (2016). Router Forensic Analysis in Cybercrime Cases. Journal of Digital Investigations, 16(4), 233-241.

3. Jackson, R., Hopkinson, A., & Tucker, I. (2017). Network Nodes: Understanding Router Vulnerabilities. Journal of Cyber Security and Networking, 11(2), 112-126.

4. Ramirez, M. (2019). Proactive Forensics: A New Paradigm. Forensic Science International, 25(1), 44-51.

5. Casey, E. (2004). Network Traffic as a Source of Evidence: Tool Strengths, Weaknesses, and Future Needs. Digital Investigation, 1(1), 28-43.

6. Jones, K. J., & Bejtlich, R. (2005). Real Digital Forensics: Computer Security and Incident Response. Addison-Wesley.

7. Zhang, X., & Fowler, M. (2007). Investigating Volatile Data from Routers. Journal of Network Forensics, 2(2), 12-22.

8. Liu, F., Zhou, X., & Zhang, X. (2010). Detecting Tampering in Router Logs: A Holistic View. Proceedings of the International Conference on Security and Privacy, 134-146.

9. Mitchell, R., & Chen, I.R. (2012). A Survey of Insider Attack Detection Research. INSIDER, 45(1), 15-27.

10. Patel, A., & Soni, M. (2015). Machine Learning in Network Traffic Stream Analysis: A Survey and Future Directions. Journal of Computer Networks, 77, 124-134.

11. Khan, R., Alghathbar, K., & Nabi, S.I. (2016). Forensic Analysis of Router Logs. International Journal of Computer Science and Information Security, 14(5), 56-63.

12. Sayer, P., & Rudd, A. (2018). Forensic Tools for Router Log Extraction. Digital Forensics Journal, 7(2), 23-34.

13. Zhang, X., & Fowler, M. (2007). Investigating Volatile Data from Routers. Journal of Network Forensics, 2(2), 12-22.

14. Patel, A., & Soni, M. (2015). Machine Learning in Network Traffic Stream Analysis: A Survey and Future Directions. Journal of Computer Networks, 77, 124-134.

15. Liu, F., Zhou, X., & Zhang, X. (2010). Detecting Tampering in Router Logs: A Holistic View. Proceedings of the International Conference on Security and Privacy, 134-146.

16. Jones, K. J., & Bejtlich, R. (2005). Real Digital Forensics: Computer Security and Incident Response. Addison-Wesley.

17. Casey, E. (2004). Network Traffic as a Source of Evidence: Tool Strengths, Weaknesses, and Future Needs. Digital Investigation, 1(1), 28-43.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Advances in Engineering Innovation (AEI)
ISBN (Print)
ISBN (Online)
Published Date
07 October 2023
Series
Advances in Engineering Innovation
ISSN (Print)
2977-3903
ISSN (Online)
2977-3911
DOI
10.54254/2977-3903/2/2023018
Copyright
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated