Metamorphic Malware Analysis and Detection Methods

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Author(s): P. Vinod (Malaviya National Institute of Technology, India), V. Laxmi (Malaviya National Institute of Technology, India)and M.S. Gaur (Malaviya National Institute of Technology, India)
Copyright: 2011
Pages: 25
Source title: Cyber Security, Cyber Crime and Cyber Forensics: Applications and Perspectives
Source Author(s)/Editor(s): Raghu Santanam (Arizona State University, USA), M. Sethumadhavan (Amrita University, India)and Mohit Virendra (Brocade Communications Systems, USA)
DOI: 10.4018/978-1-60960-123-2.ch013

Keywords: Digital Crime & Forensics / Information Science Reference / IT Security and Ethics / Security & Forensics

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Abstract

The term ‘malware’ is collectively used for any program which accesses the system through surreptitious (often unauthorized) means, with malicious intent, resulting in data loss and/or corruption. Some examples are viruses, worms, trojans, botnets etc. Malware is becoming a world-wide epidemic as one infected computer system may compromise all networked systems. Millions of computers connected to the Internet exchange useful data and information and are exposed to malware threats. Malware programs may apply different techniques for unauthorized access, but all of them compromise the system in one way or another. In order to protect from the threats imposed by the malware, we need to understand the techniques used by them in exploiting system vulnerabilities and build an effective detection system. This contribution chapter surveys various malware types, infection mechanisms, detection techniques and metamorphic viruses. This chapter also presents a Longest Common Subsequence (LCS) based methodology for metamorphic malware detection.

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