• DocumentCode
    2703596
  • Title

    Enhancing the Key Pre-distribution Scheme on Wireless Sensor Networks

  • Author

    Shan, Tzu-Hsuan ; Liu, Chuan-Ming

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Taipei Univ. of Technol., Taipei
  • fYear
    2008
  • fDate
    9-12 Dec. 2008
  • Firstpage
    1127
  • Lastpage
    1131
  • Abstract
    The communication of a wireless sensor network can be eaves dropped quite easily due to its properties, thereby requiring a security mechanism. Adding a key management scheme on the wireless sensor network is a kind of solution. This paper proposes a method to enhance the security of the existing random key pre-distribution scheme, that is considered to be suitable in wireless sensor networks. Using a little additional memory and computation, the proposed approach reduces the amount of information revealed when a sensor node is captured and thus makes a wireless sensor network that uses the random key pre-distribution scheme more secure. We analyze the proposed approaches by considering two measurements: ACL (number of additional compromised links) and AID (the average insecurity degree). ACL measures the resilience against the node capturing problem and AID measures the security of each link key. The experimental results match the analysis and show that the security of the wireless sensor network is enhanced about 50%.
  • Keywords
    private key cryptography; random processes; telecommunication security; wireless sensor networks; additional compromised links; average insecurity degree; random key predistribution scheme; wireless sensor networks; Computer network management; Computer networks; Computer science; Data security; Information security; Knowledge management; Mechanical factors; Network servers; Wireless communication; Wireless sensor networks; security; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Asia-Pacific Services Computing Conference, 2008. APSCC '08. IEEE
  • Conference_Location
    Yilan
  • Print_ISBN
    978-0-7695-3473-2
  • Electronic_ISBN
    978-0-7695-3473-2
  • Type

    conf

  • DOI
    10.1109/APSCC.2008.188
  • Filename
    4780829