• 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