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

9 Citations (Scopus)

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
Title of host publication2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010
Pages1620-1624
Number of pages5
DOIs
Publication statusPublished - 2010
Event2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010 - Istanbul, Turkey
Duration: 2010 Sept 262010 Sept 30

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
Country/TerritoryTurkey
CityIstanbul
Period10-09-2610-09-30

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A stochastic biometric authentication scheme using uniformed GMM in wireless body area sensor networks'. Together they form a unique fingerprint.

Cite this