A stochastic biometric authentication scheme using uniformed GMM in wireless body area sensor networks

Wei Wang, Kun Hua, Michael Hempel, Dongming Peng, Hamid Sharif, Hsiao Hwa Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

In this paper, we propose an innovative low-cost biometric authentication scheme based on uniformed Gaussian mixture model (GMM) for secure communications within wireless body area sensor networks (WBASNs), to obviate the cost-prohibitive key exchange problem. In this approach, the sender Inter Pulse Interval (IPI) information is selected as the biometric key for authentication, and a statistical based signing scheme is developed using the uniformed GMM. Experimental analysis shows that the proposed approach effectively protects the communication channels in WBASN with a low computational complexity, significantly removing the need for secret key exchange and critical time synchronization overheads.

Original languageEnglish (US)
Title of host publication2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010
Pages1620-1624
Number of pages5
DOIs
StatePublished - 2010
Event2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010 - Istanbul, Turkey
Duration: Sep 26 2010Sep 30 2010

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Other

Other2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010
CountryTurkey
CityIstanbul
Period9/26/109/30/10

Keywords

  • Biometric authentication
  • Gaussian mixture model
  • Wireless body area sensor network

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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