智能自动恶意代码签名提取

P. Deng, Jau-Hwang Wang, Wen-Gong Shieh, Chin-Pin Yen, C. Tung
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引用次数: 16

摘要

计算机恶意可执行代码已经伴随我们很长时间了。在计算机硬件和互联网飞速发展的今天,恶意可执行代码的安全威胁日益严重。基本上,恶意可执行代码分为三种类型。第一种被称为病毒,它总是感染其他良性程序。第二种被称为特洛伊木马,它总是将其恶意的可执行代码伪装成有用的实用程序或免费软件程序。最后但并非最不重要的是蠕虫,它在网络中自动复制和传播自己。根据文献调查[R.A.Grimes(2001)],目前的防病毒产品无法检测到所有的恶意代码,尤其是那些看不见的、多态的恶意可执行代码。此外,在公共Web站点上有许多可以免费下载的病毒程序生成器和变异引擎,它们制造了许多看不见的、多态的和有害的可执行恶意代码。因此,如何有效地自动提取病毒特征而不是手工提取病毒特征对于反病毒扫描系统来说是非常重要的,也是本研究的主要目的。
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Intelligent automatic malicious code signatures extraction
The computer malicious executable code has been with us for a quite long time. Since computer hardware and Internet is growing so fast today, security threats of malicious executable code are getting more serious. Basically, malicious executable codes are categorized into three kinds. The first is called virus, which always infect other benign programs. The second is called Trojan which always masquerade its malicious executable code inside a usefully utility or freeware program. And the last but not the least is called worm that replicate and distribute itself automatically around the network. According to the literature survey [R.A. Grimes (2001)], current antivirus products cannot detect all the malicious codes, especially for those unseen, polymorphism malicious executable codes. Moreover, there are many virus program generators and mutation engines available on public Web sites that can be downloaded freely make a lot of unseen, polymorphism, and harmful executable malicious code. So how to extract virus signatures efficiently and effectively automatically instead of manually for an antivirus scanner system is quite important and also is the major purpose of this research.
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