Constructing correlations in attack connection chains using active perturbation

Authors:
Qiang Li;Yan Lin;Kun Liu;Jiubin Ju
Affiliations:
JiLin University, ChangChun, JiLin, China;JiLin University, ChangChun, JiLin, China;JiLin University, ChangChun, JiLin, China;JiLin University, ChangChun, JiLin, China
Venue:
AAIM'05 Proceedings of the First international conference on Algorithmic Applications in Management
Year:
2005

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Abstract

Usually network attackers conceal their real attacking paths by establishing interactive connections along a series of intermediate hosts (stepping stones) before they attack the final target. We propose two methods for detecting stepping stones by actively perturbing inter-packet delay of connections. Within the attacker's perturbation range, the average value of the packets in the detecting window is set to increase periodically. The methods can construct correlations in attacking connection chains by analyzing the change of the average value of the inter-packet delay between the two connection chains. The methods can reduce the complexity of correlation computations and improve the efficiency of detecting stepping stones.