• DocumentCode
    495095
  • Title

    Analysis for Location-Based Key Pre-distribution in Wireless Sensor Networks

  • Author

    Wang Jing ; Xia Luning ; Jing, Wang

  • Author_Institution
    Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, China
  • Volume
    2
  • fYear
    2009
  • fDate
    21-22 May 2009
  • Firstpage
    297
  • Lastpage
    300
  • Abstract
    Wireless sensor networks play key roles in many applications. They are often deployed in hostile environment where communications between sensor nodes must be encrypted. This requires the establishment of secure keys between the sensor nodes in the wireless sensor networks. As one of the methods establishing pairwise keys, location-based key pre-distribution scheme takes advantage of the observation that in static wireless sensor network, it is often possible to approximately determine the location of sensor nodes. In this paper, we evaluate the security and connectivity of location-based key pre-distribution scheme when a target field is partitioned using different methods. The analysis in this paper indicates that in the three possible partition methods, the hexagon-based scheme has the highest probability of establishing pairwise keys between sensor nodes, while the triangle-based key scheme can achieve the highest security. The tradeoff between connectivity and security should be taken into consideration in practice.
  • Keywords
    cryptography; wireless sensor networks; location based key predistribution; partition method; wireless sensor networks; Computer networks; Cryptography; Data security; Failure analysis; Information analysis; Information science; Information security; Polynomials; Shape; Wireless sensor networks; connectivity; location-based key pre-distributuion; security; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing Science, 2009. ICIC '09. Second International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-0-7695-3634-7
  • Type

    conf

  • DOI
    10.1109/ICIC.2009.186
  • Filename
    5169070