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Generic detection and classification of Polymorphic malware using Neural Pattern Recognition PDF Print
Written by Rubén   
Tuesday, 13 June 2006

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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

Last Updated ( Wednesday, 14 June 2006 )
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