• DocumentCode
    2658329
  • Title

    Evaluation of control flow traces in software applications for intrusion detection

  • Author

    Gul, Imran Asad ; Sommer, Nils ; Rohr, Matthias ; Van Hoorn, Andre ; Hasselbring, Wilhelm

  • Author_Institution
    Software Eng. Group, Univ. of Oldenburg, Oldenburg
  • fYear
    2008
  • fDate
    23-24 Dec. 2008
  • Firstpage
    368
  • Lastpage
    373
  • Abstract
    Software security has become an important requirement, particularly for systems that are publicly accessible through the Internet. Such systems can be equipped with intrusion detection systems to uncover security breaches. In this paper, we present a novel application-level intrusion detection approach. A normal behavior profile is created from application-internal control flow in terms of operation execution traces. Anomalous control flows indicative for intrusion attempts are detected by continuously monitoring and analyzing the software system. A case study demonstrates the intrusion detection approach´s applicability in the context of a multi-user Java Web application.
  • Keywords
    Markov processes; data flow analysis; security of data; Internet; Markov model; application-internal control flow analysis; intrusion detection; operation execution trace; software application; software security; software system monitoring; Application software; Computer security; Control systems; Information security; Intrusion detection; Java; Monitoring; Software engineering; Software systems; Web and internet services; Anomaly Detection; Intrusion Detection; Markov chains; Trace analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multitopic Conference, 2008. INMIC 2008. IEEE International
  • Conference_Location
    Karachi
  • Print_ISBN
    978-1-4244-2823-6
  • Electronic_ISBN
    978-1-4244-2824-3
  • Type

    conf

  • DOI
    10.1109/INMIC.2008.4777765
  • Filename
    4777765