NDLI: MEDUSA: MEtamorphic malware dynamic analysis usingsignature from API

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MEDUSA: MEtamorphic malware dynamic analysis usingsignature from API

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MEDUSA: MEtamorphic malware dynamic analysis usingsignature from API

Content Provider	ACM Digital Library
Author	Jain, Harshit Nair, Vinod P. Gaur, Manoj Singh Golecha, Yashwant K. Laxmi, Vijay
Abstract	Malware detection and prevention methods are increasingly becoming necessary for computer systems connected to the Internet. The traditional signature based detection of malware fails for metamorphic malware which changes its code structurally while maintaining functionality at time of propagation. This category of malware is called metamorphic malware. In this paper we dynamically analyze the executables produced from various metamorphic generators through an emulator by tracing API calls. A signature is generated for an entire malware class (each class representing a family of viruses generated from one metamorphic generator) instead of for individual malware sample. We show that most of the metamorphic viruses of same family are detected by the same base signature. Once a base signature for a particular metamorphic generator is generated, all the metamorphic viruses created from that tool are easily detected by the proposed method. A Proximity Index between the various Metamorphic generators has been proposed to determine how similar two or more generators are.
Starting Page	263
Ending Page	269
Page Count	7
File Format	PDF
ISBN	9781450302340
DOI	10.1145/1854099.1854152
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-09-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Metamorphic generators Dynamic analysis Signature generation Principal component analysis Proximity index
Content Type	Text
Resource Type	Article

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