• DocumentCode
    2330030
  • Title

    A new approach for early detection of Internet worms based on connection degree

  • Author

    Bo, Chen ; Fang, Bin-Xing ; Yun, Xiao-Chun

  • Author_Institution
    Nat. Comput. Inf. Content Security Key Lab., Harbin Inst. of Technol., China
  • Volume
    4
  • fYear
    2005
  • fDate
    18-21 Aug. 2005
  • Firstpage
    2424
  • Abstract
    In recent years, Internet-scale worm incidents occurred many times. People wonder at the speediness of the worm spread and the severe damage to the Internet. So people began to find methods to detect worms as quickly as possible. The paper first describes a worm behavior and propagation model. And then based on it, a new approach for early detection of Internet worms is proposed. This approach determines whether a worm incident has occurred by the change of the computers´ connection degree. The approach is proved to be effective on early detection of unknown worms by experiments.
  • Keywords
    Internet; invasive software; Internet worm; computer connection degree; propagation model; Computer hacking; Computer networks; Computer security; Computer worms; Economics; Information security; Internet; Intrusion detection; National security; Web server; CUSUM; Worm; behavior model; connection degree; early detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    0-7803-9091-1
  • Type

    conf

  • DOI
    10.1109/ICMLC.2005.1527351
  • Filename
    1527351