• DocumentCode
    1718783
  • Title

    Mitigating Worm Propagation on Virtual LANs

  • Author

    Rajput, Saeed ; Sun, Xiaoguang ; Hsu, Sam

  • Author_Institution
    Comput. Sci. & Inf. Syst., Nova Southeastern Univ., Ft. Lauderdale, FL
  • fYear
    2006
  • Firstpage
    555
  • Lastpage
    556
  • Abstract
    Recent sophisticated worms have spread faster than the patch distribution. We propose an active defense framework that can defend against widespread by reacting quickly to quarantine infections. We propose deploying a number of detectors in the VLAN network. Using Monte Carlo simulations, we have shown that containment of future epidemics is possible and the probability of containment is a function of number of detectors, and that with our assumptions for worm scanning and infection speed characteristics, less than 2% detectors are enough to bring this probability very close to zero
  • Keywords
    Monte Carlo methods; invasive software; local area networks; virtual private networks; Monte Carlo simulations; infection speed characteristics; patch distribution; virtual LAN; worm propagation; worm scanning; Automatic control; Computer science; Computer security; Computer worms; Detection algorithms; Detectors; Information systems; Internet; Operating systems; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Local Computer Networks, Proceedings 2006 31st IEEE Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    0742-1303
  • Print_ISBN
    1-4244-0418-5
  • Electronic_ISBN
    0742-1303
  • Type

    conf

  • DOI
    10.1109/LCN.2006.322166
  • Filename
    4116613