Entropyology: the application of bioinformatics and data modeling to digital virus and malware recognition

Holger M. Jaenisch; James W. Handley

doi:10.1117/12.839862

15 April 2010 Entropyology: the application of bioinformatics and data modeling to digital virus and malware recognition

Holger M. Jaenisch, James W. Handley

Author Affiliations +

Proceedings Volume 7704, Evolutionary and Bio-Inspired Computation: Theory and Applications IV; 770405 (2010) https://doi.org/10.1117/12.839862
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Malware are analogs of viruses. Viruses are comprised of large numbers of polypeptide proteins. The shape and function of the protein strands determines the functionality of the segment, similar to a subroutine in malware. The full combination of subroutines is the malware organism, in analogous fashion as a collection of polypeptides forms protein structures that are information bearing. We propose to apply the methods of Bioinformatics to analyze malware to provide a rich feature set for creating a unique and novel detection and classification scheme that is originally applied to Bioinformatics amino acid sequencing. Our proposed methods enable real time in situ (in contrast to in vivo) detection applications.

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Holger M. Jaenisch and James W. Handley "Entropyology: the application of bioinformatics and data modeling to digital virus and malware recognition", Proc. SPIE 7704, Evolutionary and Bio-Inspired Computation: Theory and Applications IV, 770405 (15 April 2010); https://doi.org/10.1117/12.839862

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