• DocumentCode
    3319572
  • Title

    Characterizing and Detecting Virus Replication

  • Author

    Morales, Jose Andre ; Clarke, Peter J. ; Deng, Yi

  • Author_Institution
    Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL
  • fYear
    2008
  • fDate
    13-18 April 2008
  • Firstpage
    214
  • Lastpage
    219
  • Abstract
    Newly released computer viruses are spreading faster than ever before and current signature based detection do not protect against these unknown viruses. This paper presents a characterization of virus replication. Two detection models are developed, one using operation sequence matching and the other using frequency measures. The research shows virus replication can be characterized and used to detect known and unknown viruses with minimal false negatives. In our testing using operation sequence matching, over 250 viruses were detected with 43 subsequences. Detection of 130 viruses, 45% of all tested viruses, occured with the replication sequence of just one virus. Our testing using frequency measures detected all test viruses with no false negatives.
  • Keywords
    computer viruses; computer viruses; frequency measures; operation sequence matching; virus detection; virus replication; Computer viruses; Computer worms; Databases; Frequency measurement; Performance evaluation; Production; Protection; Testing; Turning; Viruses (medical); behavior based self reference; replication security; virus detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, 2008. ICONS 08. Third International Conference on
  • Conference_Location
    Cancun
  • Print_ISBN
    978-0-7695-3105-2
  • Electronic_ISBN
    978-0-7695-3105-2
  • Type

    conf

  • DOI
    10.1109/ICONS.2008.37
  • Filename
    4497125