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Attack Graph Analysis for Network Anti-Forensics

Rahul Chandran and Wei Q. Yan
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Rahul Chandran: Auckland University of Technology, Auckland, New Zealand
Wei Q. Yan: Auckland University of Technology, Auckland, New Zealand

International Journal of Digital Crime and Forensics (IJDCF), 2014, vol. 6, issue 1, 28-50

Abstract: The development of technology in computer networks has boosted the percentage of cyber-attacks today. Hackers are now able to penetrate even the strongest IDS and firewalls. With the help of anti-forensic techniques, attackers defend themselves, from being tracked by destroying and distorting evidences. To detect and prevent network attacks, the main modus of operandi in network forensics is the successful implementation and analysis of attack graph from gathered evidences. This paper conveys the main concepts of attack graphs, requirements for modeling and implementation of graphs. It also contributes the aspect of incorporation of anti-forensic techniques in attack graph which will help in analysis of the diverse possibilities of attack path deviations and thus aids in recommendation of various defense strategies for better security. To the best of our knowledge, this is the first time network anti-forensics has been fully discussed and the attack graphs are employed to analyze the network attacks. The experimental analysis of anti-forensic techniques using attack graphs were conducted in the proposed test-bed which helped to evaluate the model proposed and suggests preventive measures for the improvement of security of the networks.

Date: 2014
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