TY - GEN
T1 - EKG-based key agreement in body sensor networks
AU - Venkatasubramanian, Krishna Kumar
AU - Banerjee, Ayan
AU - Gupta, Sandeep
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=51049107527&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51049107527&partnerID=8YFLogxK
U2 - 10.1109/INFOCOM.2008.4544608
DO - 10.1109/INFOCOM.2008.4544608
M3 - Conference contribution
AN - SCOPUS:51049107527
SN - 9781424422197
T3 - Proceedings - IEEE INFOCOM
BT - 2008 IEEE INFOCOM Workshops
T2 - 2008 IEEE INFOCOM Workshops
Y2 - 13 April 2008 through 18 April 2008
ER -