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首页> 外文期刊>International journal of digital crime and forensics >Attack Graph Analysis for Network Anti-Forensics
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Attack Graph Analysis for Network Anti-Forensics

机译：网络取证的攻击图分析

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摘要

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.
机译：当今计算机网络技术的发展提高了网络攻击的百分比。黑客现在甚至可以穿透最强大的IDS和防火墙。借助反鉴识技术，攻击者可以保护自己，以免被破坏和扭曲的证据所跟踪。为了检测和预防网络攻击，网络取证的主要操作方式是根据收集到的证据成功实施和分析攻击图。本文传达了攻击图的主要概念，图的建模和实现要求。它还有助于在攻击图中引入反法医学技术，这将有助于分析攻击路径偏离的各种可能性，从而有助于推荐各种防御策略以提高安全性。据我们所知，这是第一次全面讨论网络反取证，并使用攻击图来分析网络攻击。在拟议的试验台上使用攻击图对反法医技术进行了实验分析，这有助于评估所提议的模型并提出预防措施，以提高网络的安全性。

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