• DocumentCode
    2529937
  • Title

    Efficient Distributed Detection of Node Replication Attacks in Sensor Networks

  • Author

    Zhu, Bo ; Addada, Venkata Gopala Krishna ; Setia, Sanjeev ; Jajodia, Sushil ; Roy, Sankardas

  • Author_Institution
    Concordia Univ., Montreal
  • fYear
    2007
  • fDate
    10-14 Dec. 2007
  • Firstpage
    257
  • Lastpage
    267
  • Abstract
    Wireless sensor nodes lack hardware support for tamper- resistance and are often deployed in unattended environments, thus leaving them vulnerable to capture and compromise by an adversary. In a node replication attack, an adversary uses the credentials of a compromised node to surreptitiously introduce replicas of that node into the network. These replicas are then used to launch a variety of attacks that subvert the goal of the sensor application, and the operation of the underlying protocols. We present a novel distributed approach called Localized Multicast for detecting node replication attacks. We evaluate the performance and security of our approach both theoretically and via simulation. Our results show that Localized Multicast is more efficient than previous distributed approaches in terms of communication and memory costs. Further, in our approach, the probability of detecting node replicas is much higher than that achieved in previous distributed protocols.
  • Keywords
    multicast protocols; security of data; telecommunication security; wireless sensor networks; distributed node replication attack detection; localized multicast; security; sensor application; tamper resistance; wireless sensor networks; wireless sensor nodes; Application software; Communication system security; Computer security; Costs; Hardware; Information systems; Protocols; Sensor systems and applications; Systems engineering and theory; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Security Applications Conference, 2007. ACSAC 2007. Twenty-Third Annual
  • Conference_Location
    Miami Beach, FL
  • ISSN
    1063-9527
  • Print_ISBN
    978-0-7695-3060-4
  • Type

    conf

  • DOI
    10.1109/ACSAC.2007.26
  • Filename
    4412994