• DocumentCode
    1924692
  • Title

    Polymorphic Worm Detection by Analyzing Maximum Length of Instruction Sequence in Network Packets

  • Author

    Tatara, Kohei ; Hori, Yoshiaki ; Sakurai, Kouichi

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Electr. Eng., Kyushu Univ., Kyushu
  • fYear
    2009
  • fDate
    16-19 March 2009
  • Firstpage
    972
  • Lastpage
    977
  • Abstract
    Intrusion detection system records worm´s signature, and detects the attack that lurks in traffic based on it. However, to detect the worm that corrects, and changes some oneself, a highly accurate detection technique for distinguishing the code that seems to be the worm included in traffic is requested. In this paper, we pay attention to the Toth et al.´s method to extract the executable code included in the data flows on the network and detect the attack by measuring the length of them. Then, we describe the problem of their method and how to solve it.
  • Keywords
    computer networks; invasive software; telecommunication security; telecommunication traffic; data flow; intrusion detection system; maximum instruction sequence length; network packet; network traffic; polymorphic worm detection; worm signature; Availability; Cryptography; Electrostatic precipitators; Engines; Information analysis; Information science; Information security; Length measurement; Payloads; Proposals; Abstract Payload Execution; Instrusion Detection; Polymorphic Worm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Availability, Reliability and Security, 2009. ARES '09. International Conference on
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-1-4244-3572-2
  • Electronic_ISBN
    978-0-7695-3564-7
  • Type

    conf

  • DOI
    10.1109/ARES.2009.103
  • Filename
    5066596