Creating Integrated Evidence Graphs for Network Forensics

Published

October 18, 2013

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

Pub Type

Conferences

Download Paper

https://doi.org/10.1007/978-3-642-41148-9_16

Local Download

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 October 9, 2025)