• DocumentCode
    924752
  • Title

    On the Detection of Clones in Sensor Networks Using Random Key Predistribution

  • Author

    Brooks, Richard ; Govindaraju, P.Y. ; Pirretti, Matthew ; Vijaykrishnan, N. ; Kandemir, Mahmut T.

  • Author_Institution
    Clemson Univ., Clemson
  • Volume
    37
  • Issue
    6
  • fYear
    2007
  • Firstpage
    1246
  • Lastpage
    1258
  • Abstract
    Random key predistribution security schemes are well suited for use in sensor networks due to their low overhead. However, the security of a network using predistributed keys can be compromised by cloning attacks. In this attack, an adversary breaks into a sensor node, reprograms it, and inserts several copies of the node back into the sensor network. Cloning gives the adversary an easy way to build an army of malicious nodes that can cripple the sensor network. In this paper, we propose an algorithm that a sensor network can use to detect the presence of clones. Keys that are present on the cloned nodes are detected by looking at how often they are used to authenticate nodes in the network. Simulations verify that the proposed method accurately detects the presence of clones in the system and supports their removal. We quantify the extent of false positives and false negatives in the clone detection process.
  • Keywords
    cryptography; telecommunication security; wireless sensor networks; clones detection; clones removal; cloning attacks; network security schemes; random key predistribution; sensor networks; Cloning; Communication system security; Costs; Elliptic curve cryptography; Hardware; Monitoring; Operating systems; Peer to peer computing; Sensor systems; Wireless sensor networks; Clone detection; distributed systems; network security; sensor networks;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1094-6977
  • Type

    jour

  • DOI
    10.1109/TSMCC.2007.905824
  • Filename
    4343983