DocumentCode :
175800
Title :
Further experiments in biocomputational structural analysis of malware
Author :
Naidu, Vijay ; Narayanan, Arun
Author_Institution :
Sch. of Comput. & Math. Sci., Auckland Univ. of Technol., Auckland, New Zealand
fYear :
2014
fDate :
19-21 Aug. 2014
Firstpage :
605
Lastpage :
610
Abstract :
Initial work on structural analysis of malware using the nature-inspired technique of projecting malware signatures into the amino acid/protein domain was promising in a number of ways, including the demonstration of potential links with real-world pathogen proteins. That initial work was necessarily speculative and limited by a number of experimental factors. The aim of the research reported here is to address some of these limitations and to repeat, with malware code and signatures that can be assured as genuine, the experiments previously reported but with enhancements and improvements. Intriguingly, the outcome is the same: for some reason that is not yet known, matching artificial malware code consensuses after multiple alignment against protein databases returns a high proportion of naturally occurring viral proteins.
Keywords :
digital signatures; invasive software; amino acid; artificial malware code consensuses; biocomputational structural analysis; malware signatures; nature-inspired technique; protein databases; real-world pathogen proteins; viral proteins; Amino acids; Biological information theory; Grippers; Malware; Matrices; Payloads; Proteins; Blaster worm; automatic signature generation; malware modelling; malware structural analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2014 10th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4799-5150-5
Type :
conf
DOI :
10.1109/ICNC.2014.6975904
Filename :
6975904
Link To Document :
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