Merging Sub Evidence Graphs to an Integrated Evidence Graph for Network Forensics Analysis

نویسندگان

  • Changwei Liu
  • Anoop Singhal
  • Duminda Wijesekera
چکیده

Evidence graphs model network intrusion evidence and their dependen­ cies to help with network forensics analysis. With quantitative metrics, probabilistic evidence graphs provide a way to link probabilities associ­ ated with different attack paths with available evidence. Existing work in evidence graphs assumes that all available evidence forms a single evidence graph. We show how to merge different evidence graphs with or without the help of a corresponding attack graph. We show this by providing algorithms and a possible attack scenario towards a file server and a database server in an example network environment. An integrated evidence graph, showing all attacks using global reasoning, is more useful to forensics analysts and network administrators than multiple evidence graphs that use local reasoning.

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تاریخ انتشار 2013