• DocumentCode
    2700652
  • Title

    Efficient Broadcast Authentication in Wireless Sensor Networks

  • Author

    Du, Zhiqiang ; Wang, Kun ; Zhou, Lihua

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Xidian Univ., Xi´´an
  • fYear
    2008
  • fDate
    9-12 Dec. 2008
  • Firstpage
    187
  • Lastpage
    192
  • Abstract
    Broadcast authentication is an important security primitive in wireless sensor networks. Costs of Tree- based muTESLA are rising rapidly with more senders in networks, which limit its use in large-scale networks. To removing such a limit, this paper presents a muTPCT-based broadcast authentication protocol which mainly rests on constructions of muTPC (muTESLA parameters hash chain) and muTPCT (muTPC Merkle tree). The proposed protocol makes an improvement of tree-based muTESLA. It constructs muTPC to distribute and authenticate the initial parameter of muTESLA. Then it constructs muTPCT to distribute and authenticate the initial parameter of muTPC. Analysis and experiments have shown our proposed protocol has the ability of resisting DoS attacks against the distribution of muTESLA parameters and revoking authenticating powers of compromised nodes on time. It also outperforms the tree-based muTESLA by reducing the cost of computation, communication, and storage needed, which makes our proposed protocol more applicable to large scale sensor networks.
  • Keywords
    protocols; telecommunication security; wireless sensor networks; muTESLA parameters hash chain; muTPC Merkle tree; muTPCT-based broadcast authentication protocol; wireless sensor networks; Application software; Authentication; Broadcast technology; Broadcasting; Computational efficiency; Computer crime; Computer networks; Large-scale systems; Protocols; Wireless sensor networks;
  • 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.2008.133
  • Filename
    4780674