Generic detection and classification of Polymorphic malware using Neural Pattern Reco

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Generic detection and classification of Polymorphic malware using Neural Pattern Recognition

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[TD=colspan: 2, align: left]Written by Rubén [/TD]

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[TD=class: createdate, colspan: 2] Tuesday, 13 June 2006 [/TD]

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Overview

This paper describes how to develop a Neural Pattern Recognition System in order to detect polymorphic.The widely extended Polymorphic Packer/Cypher Morphine is used as example.

Abstract

The obsolete way in which some anti-virus products are generating malware signatures, makes that polymorphic samples detection, a tedious problem when it actually is not so difficult. This paper describes the basics of a method by which the generic classification of polymorphic malware could be considered as a trivial issue

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