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Creating Integrated Evidence Graphs for Network Forensics

Published

Author(s)

Changwei Liu, Anoop Singhal, Duminda Wijesekera

Abstract

Evidence Graphs model network intrusion evidence and their dependencies, which helps network forensics analyst collate and visualize dependencies. In particular, probabilistic evidence graph provide a way to link probabilities associated with different attack paths with available evidence. Existing work in evidence graphs assume that all evidence is available as one graph. We show how to merge different evidence graphs with or without the help of attack graphs. We show this by providing algorithms and a case study based on attacks on a fileserver and a database server in a lab network environment. An integrated evidence graph that show all attacks launched toward a global network are more useful for forensics analysts and network administrators in searching for forensic evidence and safeguarding networks respectively.
Proceedings Title
Advances in Digital Forensics IX (IFIP Advances in Information and Communication Technology)
Conference Dates
January 28-30, 2013
Conference Location
Orlando, FL, US
Conference Title
The Ninth Annual IFIP WG 11.9 International Conference on Digital Forensics

Keywords

Attack Graph, Forensic Analysis, Evidence Graphs, Vulnerability Database

Citation

Liu, C. , Singhal, A. and Wijesekera, D. (2013), Creating Integrated Evidence Graphs for Network Forensics, Advances in Digital Forensics IX (IFIP Advances in Information and Communication Technology), Orlando, FL, US, [online], https://doi.org/10.1007/978-3-642-41148-9_16, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=912745 (Accessed March 5, 2024)
Created October 17, 2013, Updated October 12, 2021