• DocumentCode
    2415002
  • Title

    Biometrics based novel key distribution solution for body sensor networks

  • Author

    Miao, Fen ; Jiang, Lei ; Li, Ye ; Zhang, Yuan-Ting

  • Author_Institution
    Shenzhen Institutes of Adv. Technol., Chinese Acad. of Sci., Shenzhen, China
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    2458
  • Lastpage
    2461
  • Abstract
    The security of wireless body sensor network (BSN) is very important to telemedicine and m-healthcare, and it still remains a critical challenge. This paper presents a novel key distribution solution which allows two sensors in one BSN to agree on a changeable cryptographic key. A previously published scheme, fuzzy vault, is firstly applied to secure the random cryptographic key generated from electrocardiographic (ECG) signals. Simulations based on ECG data from MIT PhysioBank database, produce a minimum half total error rate (HTER) of 0.65%, which demonstrates our key distribution solution is promising compared with previous method, with HTER of 4.26%.
  • Keywords
    biometrics (access control); body area networks; cryptography; electrocardiography; fuzzy set theory; health care; medical signal processing; telecommunication security; telemedicine; wireless sensor networks; BSN security; ECG signal generation; MIT PhysioBank database; electrocardiographic; fuzzy vault scheme; key distribution solution; m-healthcare; random cryptographic key generation; telemedicine; wireless body sensor network; BSN; Biometrics; Fuzzy Vault; Security; Biomedical Engineering; Biometry; Computer Communication Networks; Computer Security; Computer Simulation; Electrocardiography; Humans; Monitoring, Ambulatory; Reproducibility of Results; Signal Processing, Computer-Assisted; Software; Telemedicine; Telemetry; Transducers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5334698
  • Filename
    5334698