基于可视化的恶意代码模式分析研究

Donghwi Lee, In Soo Song, Kuinam J. Kim, Jun-hyeon Jeong
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引用次数: 25

摘要

互联网技术的发展带来了便利。一方面产生各种各样的恶意代码。恶意代码的出现数量急剧增加,并且新的或变型的恶意代码的流通非常严重,因此需要对恶意代码进行分析。针对反病毒公司的恶意代码特性,进行了恶意代码模式提取。可视化可以为成千上万的恶意代码制作一个图像。并且可以提取看不见的模式。因此本文的研究对象是各种恶意代码的分析,除了新的或变型的恶意代码类型或形式推断外,还利用可视化的强大功能。为此,本文提出了一种不可见的恶意代码模式提取方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study on Malicious Codes Pattern Analysis Using Visualization
The expansion of internet technology has made convenience. On the one hand various malicious code is produced. The number of malicious codes occurrence has dramatically increasing, and new or variant malicious code circulation very serious, So it is time to require analysis about malicious code. The being so malicious code pattern extract for malicious code properties of anti-virus company. Visualization possible to make one image for thousands upon thousands of malicious code. and It is possible to extract unseen pattern. Therefore this paper of object is various malicious code analysis besides new or variant malicious code type or form deduction using visualization of strong. Thus this paper proposes unseen malicious code pattern extract.
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