A Comparative Study of Metamorphic Malware Detection Techniques

Animesh Kumar Jha, Abhishek Vaish, Simona Sternad Zabukovšek, S. Bobek
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Abstract

Malware is a major threat in the evolving global cyber space. The different detection techniques that currently exist are insufficient at detecting metamorphic malware, as they can change the internal structure of their code, thus keeping the flow of the programme equivalent to the virus. Commercial antivirus software depends on signature detection algorithms to identify viruses, however, code obfuscation techniques can successfully circumvent these algorithms. The objective of this research is to analyse the various detection techniques of such metamorphic malware used over the years and to unearth the strengths, weaknesses and advance research directions possible in the field of the detection of metamorphic malware.
变形恶意软件检测技术的比较研究
恶意软件是不断发展的全球网络空间的主要威胁。目前存在的不同检测技术不足以检测变形恶意软件,因为它们可以改变代码的内部结构,从而使程序的流程等同于病毒。商业杀毒软件依赖于签名检测算法来识别病毒,而代码混淆技术可以成功地绕过这些算法。本研究的目的是分析多年来使用的各种变形恶意软件检测技术,揭示变形恶意软件检测领域的优势和劣势,并提出可能的研究方向。
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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