DocumentCode :
599334
Title :
Bootstrapping body sensor networks using human controlled LED-camera channels
Author :
Xin Huang ; Shangyuan Guo ; Bangdao Chen ; Roscoe, A.W.
Author_Institution :
Dept. of Comput. Sci., Univ. of Oxford, Oxford, UK
fYear :
2012
fDate :
10-12 Dec. 2012
Firstpage :
433
Lastpage :
438
Abstract :
Body sensor networks enable many interesting applications. In these applications, sensor networks always collect sensitive information, thus security is significant. Since most security mechanisms are based on identities and keys, we propose a human controlled LED-camera channel based hash key before knowledge identity and key distribution protocol. The protocol has two advantages. Firstly, the protocol uses human controlled LED-camera channels, thus human burden is reduced. Secondly, protocol performance is optimized for sensor nodes.
Keywords :
body sensor networks; cameras; cryptographic protocols; light emitting diodes; private key cryptography; public key cryptography; statistical analysis; body sensor network; bootstrapping; hash key; human controlled LED-camera channel; key distribution protocol; knowledge identity protocol; light emitting diode; protocol performance optimization; security mechanism; Cryptography; Protocols; key; security; sensor; user interactive security protocol;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet Technology And Secured Transactions, 2012 International Conference for
Conference_Location :
London
Print_ISBN :
978-1-4673-5325-0
Type :
conf
Filename :
6470845
Link To Document :
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