• DocumentCode
    705702
  • Title

    Physiological-Signal-Based Key Negotiation Protocols for Body Sensor Networks: A Survey

  • Author

    Huawei Zhao ; Ruzhi Xu ; Minglei Shu ; Jiankun Hu

  • Author_Institution
    Dept. of Internet Finance, Qilu Univ. of Technol., Jinan, China
  • fYear
    2015
  • fDate
    25-27 March 2015
  • Firstpage
    63
  • Lastpage
    70
  • Abstract
    Body sensor networks (BSNs) are deployed around the human body to measure and process physiological signals in real time, which have wide application prospects in intelligent healthcare. Physiological signals measured and processed by BSNs involve individual privacy, thus security mechanisms must be developed to secure BSNs, and therein adoption of key negotiation protocols is fundamental. Due to stringently limited operation resources, BSNs require these protocols to be low-energy and highly efficient. Recent development has discovered that certain physiological signals can be used for efficiently negotiating common keys among biosensor nodes. These signals and fuzzy technology are used to design lightweight key negotiation protocols, and many solutions have been proposed. In this paper, we explore and classify these solutions, and evaluate their performance by analyzing their merits and demerits. Finally, we present open research issues that should be solved in the future.
  • Keywords
    body sensor networks; fuzzy systems; protocols; telecommunication security; BSN; biosensor nodes; body sensor networks; fuzzy technology; intelligent healthcare; key negotiation protocols; physiological signal; Biosensors; Error correction codes; Noise; Physiology; Protocols; Receivers; Synchronization; body sensor network; fuzzy technology; key negotiation protocols; physiological signals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomous Decentralized Systems (ISADS), 2015 IEEE Twelfth International Symposium on
  • Conference_Location
    Taichung
  • Print_ISBN
    978-1-4799-8260-8
  • Type

    conf

  • DOI
    10.1109/ISADS.2015.13
  • Filename
    7098239