Advances in Engineering Innovation
Vol. 2, 07 October 2023
Open
Access | Article
Router forensics: Navigating the digital crossroads
* Author to whom correspondence should be addressed.
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
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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
- 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
- 07 October 2023
- 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