• DocumentCode
    2571256
  • Title

    A trust-based approach against IP-spoofing attacks

  • Author

    Gonzalez, Jesus M. ; Anwar, Mohd ; Joshi, James B D

  • Author_Institution
    Grad. Program in Telecommun. & Networking, Univ. of Pittsburgh, Pittsburgh, PA, USA
  • fYear
    2011
  • fDate
    19-21 July 2011
  • Firstpage
    63
  • Lastpage
    70
  • Abstract
    IP-spoofing attacks remain one of the most damaging attacks in which an attacker replaces the original source IP address with a new one. Using the existing attacking tools to launch IP spoofing attacks, an attacker can now easily compromise access routers and not only the end-hosts. In this paper, we propose a trust-based approach using a Bayesian inference model that evaluates the trustworthiness of an access router with regards to forwarding packets without modifying their source IP address. The trust values for the access routers is computed by a judge router that samples all traffic being forwarded by the access routers. The simulation results show that our approach effectively detects malicious access routers. The results also show that our approach has a low impact on the network performance when no attack is present, and that it introduces little overhead traffic.
  • Keywords
    IP networks; belief networks; computer network security; inference mechanisms; telecommunication network routing; telecommunication traffic; Bayesian inference model; IP address; IP spoofing attacks; access routers; judge router; overhead traffic; packet forwarding; trust-based approach; trustworthiness evaluation; Delay; Filtering; Fires; IP networks; Monitoring; Probes; Routing protocols; Access Router; Autonomous System; Bayesian Inference; IP-spoofing; Trust;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Privacy, Security and Trust (PST), 2011 Ninth Annual International Conference on
  • Conference_Location
    Montreal, QC
  • Print_ISBN
    978-1-4577-0582-3
  • Type

    conf

  • DOI
    10.1109/PST.2011.5971965
  • Filename
    5971965