• DocumentCode
    2451235
  • Title

    Terrain and behavior modeling for projecting multistage cyber attacks

  • Author

    Fava, Daniel ; Holsopple, Jared ; Yang, Shanchieh Jay ; Argauer, Brian

  • Author_Institution
    Rochester Inst. of Technol., Rochester
  • fYear
    2007
  • fDate
    9-12 July 2007
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Contributions from the information fusion community have enabled comprehensible traces of intrusion alerts occurring on computer networks. Traced or tracked cyber attacks are the bases for threat projection in this work. Due to its complexity, we separate threat projection into two sub-tasks: predicting likely next targets and predicting attacker behavior. A virtual cyber terrain is proposed for identifying likely targets. Overlaying traced alerts onto the cyber terrain reveals exposed vulnerabilities, services, and hosts. Meanwhile, a novel attempt to extract cyber attack behavior is discussed. Leveraging traditional work on prediction and compression, this work identities behavior patterns from traced cyber attack data. The extracted behavior patterns are expected to further refine projections deduced from the cyber terrain.
  • Keywords
    computer networks; security of data; computer networks; intrusion alerts; multistage cyber attacks; virtual cyber terrain; Bayesian methods; Computer networks; Computer security; Data mining; Filtering; Hidden Markov models; Intrusion detection; Monitoring; Reconnaissance; Target tracking; contextual reasoning; cyber security; prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2007 10th International Conference on
  • Conference_Location
    Quebec, Que.
  • Print_ISBN
    978-0-662-45804-3
  • Electronic_ISBN
    978-0-662-45804-3
  • Type

    conf

  • DOI
    10.1109/ICIF.2007.4408131
  • Filename
    4408131