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Detection Efficiency of Static Analyzers against Obfuscated Android Malware

机译:静态分析器对混淆的Android恶意软件的检测效率

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Mobile antivirus technologies incorporate static analysis which involves the analysis of programs without its execution. This process relies on pattern matching against a signature repository to identify malware, which can be easily tricked by transformation techniques such as obfuscation. Obfuscation as an evasion technique renders character strings disguised and incomprehensive, to prevent tampering and reengineering, which poses to be a valuable technique malware developers adopt to evade detection. This paper attempts to study the detection efficiency of static analyzers against obfuscated Android malware. This study is the first step in a larger project attempting to improve the efficiency of malware detectors.
机译:移动防病毒技术包含静态分析,该静态分析涉及对程序的分析而不执行该程序。此过程依赖于与签名存储库的模式匹配来识别恶意软件,可以通过转换技术(例如混淆)轻松欺骗恶意软件。模糊处理是一种规避技术,会使字符串变得隐蔽且不完整,以防止篡改和重新设计,这构成了恶意软件开发人员用来逃避检测的有价值的技术。本文试图研究静态分析器对混淆的Android恶意软件的检测效率。这项研究是一个大型项目的第一步,该项目试图提高恶意软件检测器的效率。

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