• DocumentCode
    1502414
  • Title

    Key Predistribution Approach in Wireless Sensor Networks Using LU Matrix

  • Author

    Dai, Hangyang ; Xu, Hongbing

  • Author_Institution
    Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    10
  • Issue
    8
  • fYear
    2010
  • Firstpage
    1399
  • Lastpage
    1409
  • Abstract
    To achieve secure communication between sensor nodes in wireless sensor networks (WSNs), it is important to be able to establish efficient key predistribution mechanisms. Here, a matrix-based key predistribution scheme for WSN is presented, as shown in the following process. First, LU matrix-based method is employed to decompose the polynomial pool, which substitutes for the key pool to establish the shared keys. Second, the shared key is computed by the shared polynomial. Third, we can always compute the common polynomial with mutual authentication. The analysis indicates that the proposed scheme allows 100% connectivity regardless of the number of keys. To evaluate the efficiency of the network-wide memory overhead, each row or column of L and U matrices is divided into two parts: nonzero-element part and zero-element part. The results demonstrate that this method provides references for increasing the efficiency of LU matrix-based algorithms. By introducing polynomial-based key predistribtion, the resilience against node capture has been greatly enhanced as well.
  • Keywords
    polynomial matrices; telecommunication security; wireless sensor networks; LU matrix; key predistribution approach; mutual authentication; nonzero-element part; polynomial pool; secure communication; wireless sensor networks; Authentication; Information security; Matrices; Matrix decomposition; Monitoring; Polynomials; Protocols; Public key; Resilience; Wireless sensor networks; $LU$ matrix-based; polynomial-based key predistribution; security; wireless sensor works;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2009.2039130
  • Filename
    5471706