Anti-Virus research on using Heuristics and GA's to evolve and detect new polymorphic virus signatures

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Anti-Virus research on using Heuristics and GA's to evolve and detect new polymorphic virus signatures



#Polymorphic Virus Signature Recognition via Hybrid Genetic Algorithm ####Carlos Alberto Nasillo González#
####ABSTRACT

Computer viruses have become an ever rising plague that constantly poses serious threats to many aspects of our daily life in this current information-based society. Even with the latest virus detection technologies, the exponential growth of computer systems infections is yet to decay due to usage viral polymorphism. Every virus is represented by a unique sequence of hexadecimal characters that current detection mechanisms look for in order to detect malware, however if this pattern is modified in the slightest, the aforementioned process is unsuccessful.

In this paper, we propose a new type of virus signature definition, called evolutive signature, and a novel detection mechanism to deal with polymorphic viruses using Heuristic String Pattern matching algorithms and by inducing artificial evolution through Genetic Algorithms (GA) on existing virus definitions. The experimental results showed a strong potential for the proposed system in the detection of polymorphic signatures through String Matching heuristics as well as an average of 50% accuracy by means of signature evolution.

https://github.com/carlosnasillo/Hybrid-Genetic-Algorithm
 
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