• DocumentCode
    2518005
  • Title

    Model-Based Intrusion Detection by Abstract Interpretation

  • Author

    Hua, Jingyu ; Nishide, Takashi ; Sakurai, Kouichi

  • Author_Institution
    Dept. of Inf., Kyushu Univ., Fukuoka, Japan
  • fYear
    2010
  • fDate
    19-23 July 2010
  • Firstpage
    359
  • Lastpage
    362
  • Abstract
    Model-based intrusion detection works by comparing a process´s runtime behavior with a pre-computed normal program model. This paper studies this technology from the viewpoint of abstract interpretation theory. We regard different program behavior models used to perform intrusion detection as different abstractions of the concrete trace semantics of programs. Based on this point, we formally define model-based intrusion detection and present a generic generation algorithm for program models on a provided abstraction domain. Eventually, we discuss how to use this mechanism to implement a real intrusion detection model proposed by us before.
  • Keywords
    security of data; abstract interpretation; generic generation algorithm; model based intrusion detection; runtime behavior process; Algorithm design and analysis; Analytical models; Computational modeling; Concrete; Intrusion detection; Registers; Semantics; abstract interpretation; intrusion detection; static analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applications and the Internet (SAINT), 2010 10th IEEE/IPSJ International Symposium on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-7526-1
  • Electronic_ISBN
    978-0-7695-4107-5
  • Type

    conf

  • DOI
    10.1109/SAINT.2010.107
  • Filename
    5598041