• DocumentCode
    2582679
  • Title

    A Trust-Aware, P2P-Based Overlay for Intrusion Detection

  • Author

    Duma, Claudiu ; Karresand, Martin ; Shahmehri, Nahid ; Caronni, Germano

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Linkopings Univ.
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    692
  • Lastpage
    697
  • Abstract
    Collaborative intrusion detection systems (IDSs) have a great potential for addressing the challenges posed by the increasing aggressiveness of current Internet attacks. However, one of the major concerns with the proposed collaborative IDSs is their vulnerability to the insider threat. Malicious intruders, infiltrating such a system, could poison the collaborative detectors with false alarms, disrupting the intrusion detection functionality and placing at risk the whole system. In this paper, we propose a P2P-based overlay for intrusion detection (overlay IDS) that addresses the insider threat by means of a trust-aware engine for correlating alerts and an adaptive scheme for managing trust. We have implemented our system using JXTA framework and we have evaluated its effectiveness for preventing the spread of a real Internet worm over an emulated network. The evaluation results show that our overlay IDS significantly increases the overall survival rate of the network
  • Keywords
    Internet; peer-to-peer computing; security of data; Internet attacks; Internet worm; JXTA framework; collaborative intrusion detection systems; overlay IDS; trust management; trust-aware P2P-based overlay; trust-aware engine; Collaboration; Computer worms; Face detection; IP networks; Information science; Internet; Intrusion detection; Laboratories; Protection; Search engines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2006. DEXA '06. 17th International Workshop on
  • Conference_Location
    Krakow
  • ISSN
    1529-4188
  • Print_ISBN
    0-7695-2641-1
  • Type

    conf

  • DOI
    10.1109/DEXA.2006.21
  • Filename
    1698432