EKG-based key agreement in body sensor networks

Krishna Kumar Venkatasubramanian, Ayan Banerjee, Sandeep Gupta

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

111 Scopus citations


Preserving a person's privacy in an efficient manner is very important for critical, life-saving infrastructures like Body Sensor Networks (BSN). This paper presents a novel key agreement scheme which allows two sensors in a BSN to agree to a common key generated using electrocardiogram (EKG) signals. This EKG-based Key Agreement (EKA) scheme aims to bring the "plug-n-play" paradigm to BSN security whereby simply deploying sensors on the subject can enable secure communication, without requiring any form of initialization such as pre-deployment. Analysis of the scheme based on real EKG data (obtained from MIT PhysioBank database) shows that keys resulting from EKA are: random, time variant, can be generated based on short-duration EKG measurements, identical for a given subject and different for separate individuals.

Original languageEnglish (US)
Title of host publication2008 IEEE INFOCOM Workshops
StatePublished - 2008
Event2008 IEEE INFOCOM Workshops - Phoenix, AZ, United States
Duration: Apr 13 2008Apr 18 2008

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X


Other2008 IEEE INFOCOM Workshops
Country/TerritoryUnited States
CityPhoenix, AZ

ASJC Scopus subject areas

  • General Computer Science
  • Electrical and Electronic Engineering


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