A Study on Analysis of Malicious Codes Similarity Using N-Gram and Vector Space Model

Donghwi Lee, W. Park, Kuinam J. Kim
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引用次数: 3

Abstract

The development of Information and Communication gives a lot of convenience in our lives, but on the other hand, the new cyber threat like viruses, computer intrusions and so on also increases. Especially, malicious codes such as viruses over the internet are distributed in large quantities. Several studies using reverse engineering or virtual machine have been carried out to analyze malicious codes, but studies on the analysis of the implications or the similarities between malicious codes have not been carried out in variety. Therefore, we suggest the analysis of similarity using N-Gram and Vector Space Model in this paper. The results shows that we can distinguish malicious codes from others using this method.
基于N-Gram和向量空间模型的恶意代码相似度分析研究
信息和通信的发展给我们的生活带来了很多便利,但另一方面,新的网络威胁,如病毒,计算机入侵等也在增加。特别是,病毒等恶意代码在互联网上大量传播。利用逆向工程或虚拟机对恶意代码进行分析的研究已有不少,但对恶意代码之间的含义或相似性分析的研究还不多。因此,本文建议使用N-Gram和向量空间模型进行相似性分析。结果表明,该方法可以有效地将恶意代码与其他恶意代码区分开来。
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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