• DocumentCode
    534158
  • Title

    Application Layer Anomaly Detection Based on HSMM

  • Author

    Bailin, Xie ; Shunzheng, Yu ; Tao, Wang

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Sun Yat-Sen Univ., Guangzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    16-18 July 2010
  • Firstpage
    411
  • Lastpage
    414
  • Abstract
    Today more and more network-based attacks occur at application layer. Observed from the network layer and transport layer, these attacks may not contain significant malicious activities, and generate abnormal network traffic. However, traditional security techniques usually detect attacks from those two layers. Although some security techniques can detect some application layer attacks, these techniques can only detect some known attacks, and these techniques can´t detect the unknown or novel attacks happened on application layer. In theory, application layer anomaly detection can detect the unknown and novel attacks happened on application layer, so the research of application layer anomaly detection is very important. This paper presents a new application layer anomaly detection method which based on HSMM. The experimental results show that this method has high detection accuracy and low false positive ratio.
  • Keywords
    Markov processes; computer network security; HSMM; application layer anomaly detection; hidden semiMarkov model; network layer; network-based attacks; transport layer; Hidden Markov models; Internet; Intrusion detection; Payloads; Protocols; Training; HSMM; anomaly detection; application layer; application layer attack; malicious activities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications (IFITA), 2010 International Forum on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-7621-3
  • Electronic_ISBN
    978-1-4244-7622-0
  • Type

    conf

  • DOI
    10.1109/IFITA.2010.145
  • Filename
    5634757