Detecting virus mutations via dynamic matching

Min Feng, Rajiv Gupta
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引用次数: 20

Abstract

To defeat current commercial antivirus software, the virus developers are employing obfuscation techniques to create mutating viruses. The current antivirus software cannot handle the obfuscated viruses well since its detection methods that are based upon static signatures are not resilient to even slight variations in the code that forms the virus. In this paper, we propose a new type of virus signature, called dynamic signature, and an algorithm for matching dynamic signatures. Our dynamic signature is created based on the runtime behavior of a virus. Therefore, an obfuscated virus can also be detected using a dynamic signature as long as it dynamically behaves like the original virus. We also discuss issues related to deploying our virus detection approach. Our experiments based upon several known mutating viruses show that our method is effective in identifying obfuscated viruses.
通过动态匹配检测病毒突变
为了打败目前的商业杀毒软件,病毒开发者正在使用混淆技术来制造变异病毒。目前的杀毒软件不能很好地处理这种混淆的病毒,因为它的检测方法是基于静态签名的,即使是形成病毒的代码中的微小变化也不能恢复。本文提出了一种新型的病毒签名——动态签名,并给出了一种匹配动态签名的算法。动态签名是根据病毒的运行时行为创建的。因此,只要混淆病毒的动态行为与原始病毒相同,就可以使用动态签名检测到该病毒。我们还讨论了与部署病毒检测方法相关的问题。基于几种已知变异病毒的实验表明,我们的方法可以有效地识别混淆病毒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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