• DocumentCode
    2587718
  • Title

    Markovian modeling and analysis of Internet worm propagation

  • Author

    Okamura, Hiroyuki ; Kobayashi, Hisashi ; Dohi, Tadashi

  • Author_Institution
    Dept. of Inf. Eng., Hiroshima Univ.
  • fYear
    2005
  • fDate
    1-1 Nov. 2005
  • Lastpage
    158
  • Abstract
    Propagation of Internet worms is a serious problem in our highly information oriented society. In this paper, we propose a stochastic model for Internet worm propagation to evaluate its dependability measures quantitatively. More precisely, the deterministic kill-signal model is reformulated based on a continuous-time Markov chain. We define some dependability measures and derive the recursive computation algorithms to assess them. In numerical experiments, we investigate the behavior of actual Internet worms with real infection data and characterize their propagation
  • Keywords
    Internet; Markov processes; invasive software; program diagnostics; Internet worm propagation; Markovian analysis; Markovian modeling; continuous-time Markov chain; dependability measures; deterministic kill-signal model; epidemic SIS model; matrix geometric analysis; stochastic model; Computer networks; Computer security; Computer viruses; Computer worms; Counting circuits; Differential equations; IP networks; Mathematical model; Solid modeling; Web and internet services; Internet worm propagation; Markov model; dependability measures; epidemic SIS model; kill signal; matrix geometric analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Reliability Engineering, 2005. ISSRE 2005. 16th IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • ISSN
    1071-9458
  • Print_ISBN
    0-7695-2482-6
  • Type

    conf

  • DOI
    10.1109/ISSRE.2005.27
  • Filename
    1544730