• DocumentCode
    2396116
  • Title

    A Quantitative Survivability Evaluation Model for Wireless Sensor Networks

  • Author

    Li, Xueping ; Yang, Dengfeng

  • Author_Institution
    Dept. of Ind. & Inf. Eng., Tennessee Univ., Knoxville, TN
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    727
  • Lastpage
    732
  • Abstract
    A wireless sensor network (WSN) is vulnerable to security attacks due to the broadcast nature of transmission and the limited computation and communication capabilities of the sensor nodes. Many key agreement schemes are developed to enable encryption and authentication among sensor nodes to protect confidentiality, integrity, and availability of the communications and computations of WSNs. It is crucial to build a model to evaluate these schemes with regard to survivability of a WSN. In this paper, we propose a quantitative evaluation model for a typical pre-distribution key management scheme. Specifically, we evaluate the survivability of a WSN with regard to its three major attributes: resilience, resistance, and robustness. Simulation results are reported showing how a WSN become survivable and how it can be improved
  • Keywords
    cryptography; message authentication; telecommunication network reliability; telecommunication security; wireless sensor networks; authentication; confidentiality; encryption; integrity; key agreement schemes; predistribution key management scheme; quantitative survivability evaluation model; security attacks; wireless sensor networks; Authentication; Availability; Broadcasting; Computer networks; Cryptography; Protection; Protocols; Resilience; Robustness; Wireless sensor networks; Survivability; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control, 2006. ICNSC '06. Proceedings of the 2006 IEEE International Conference on
  • Conference_Location
    Ft. Lauderdale, FL
  • Print_ISBN
    1-4244-0065-1
  • Type

    conf

  • DOI
    10.1109/ICNSC.2006.1673236
  • Filename
    1673236