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A Discrete Event System Based Approach for Obfuscated Malware Detection

机译:基于离散事件系统的混淆恶意软件检测方法

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With the growing use and popularity of Internet among people, security threats such as viruses, worms etc., are also rapidly increasing. In order to detect and prevent such threats, many antivirus softwares have been created. Signature matching approach used to detect malwares can be easily thwarted by using code obfuscation techniques. In this paper, we propose a discrete event systems-based approach to detect obfuscated malwares in a system, taking Bagle. A as our test virus. Commonly used obfuscation techniques have been applied to bagle. We built DES models for a process under attack and normal conditions with system calls as events. Based on the system calls evoked by any process, our detector will determine its maliciousness by comparing it with both the models.
机译:随着人们之间不断增长和互联网的普及,病毒,蠕虫等的安全威胁也在迅速增加。为了检测和防止这种威胁,已经创建了许多防病毒软件。使用代码混淆技术可以轻松挫败用于检测恶意的签名匹配方法。在本文中,我们提出了一种基于离散的事件系统的方法来检测系统中的混淆恶意,以摇头。 a作为我们的测试病毒。常用的混淆技术已应用于袋子。我们构建了在攻击下的进程的模型以及系统调用作为事件的正常情况。根据任何过程引起的系统调用,我们的探测器将通过与模型进行比较来确定其恶意。

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