Analysis of Stepping Stone Attacks in Dynamic Vulnerability Graphs

Gamarra, M., Shetty, S., Gonzalez, O., Nicol, D.M., Kamhoua, C., and Njilla, L.


To appear, IEEE ICC 2018 Communication and Information Systems Security Symposium. Kansas City, MO. May 20-24, 2018. 


Vulnerability graphs have been employed as an effective tool for analyzing exploitability and the impact of chains of exploits in networked environments. The attack graphs are created by a chain of “stepping stones” from the attacker origin to the desired target. The stepping stones not only provide the intermediate steps to reach the target, but also make it difficult to identify the attacker’s true location. In this paper, we model and analyze stepping stones in dynamic vulnerability graphs. Most analysis based on attack graphs assume that the graph edges and weights remain constant during the attacker’s attempt to propagate through the network. We propose a biased minconsensus technique for dynamic graphs with switching topology as a distribute the technique to determine the attack paths with more probable stepping stones in dynamic vulnerability graphs. We use min-plus algebra to determine the necessary and sufficient convergence conditions. A Necessary condition for convergence to the shortest path in the switching topology case is provided.

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