Conference paper

 
Švenda, P., Sekanina, L., Matyáš, V.: Evolutionary Design of Secrecy Amplification Protocols for Wireless Sensor Networks, In: Proc. of the ACM Conference on Wireless Network Security, New York, US, ACM, 2009, p. 225-236, ISBN 978-1-60558-460-7
Publication language:english
Original title:Evolutionary Design of Secrecy Amplification Protocols for Wireless Sensor Networks
Title (cs):Evoluční návrh protokolů pro amplifikaci bezpečnosti v bezdrátových senzorových sítích
Pages:225-236
Proceedings:Proc. of the ACM Conference on Wireless Network Security
Conference:ACM Conference on Wireless Network Security
Place:New York, US
Year:2009
ISBN:978-1-60558-460-7
Publisher:Association for Computing Machinery
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Keywords
Secrecy Amplification Protocol, Wireless Sensor Networks, Genetic Programming
Annotation
We propose a new method for automatic generation of secrecy amplification protocols for wireless sensor networks, utilizing evolutionary algorithms. We were able to rediscover all published protocols for secrecy amplification we are aware of, and found a new protocol that outperforms the existing ones. An alternative construction of secrecy amplification protocols with a comparable fraction of secure links to that of the original "node-oriented" approach was also designed. This new construction exhibits only linear (instead of exponential) increase of necessary messages when the number of communication neighbours grows. This efficient protocol can   significantly reduce the sensor battery power consumption because of the decreased message transmission rate. We used a combination of linear genetic programming and a network simulator in this work.
BibTeX:
@INPROCEEDINGS{
   author = {Petr Švenda and Lukáš Sekanina and Václav Matyáš},
   title = {Evolutionary Design of Secrecy Amplification Protocols for
	Wireless Sensor Networks},
   pages = {225--236},
   booktitle = {Proc. of the ACM Conference on Wireless Network Security},
   year = {2009},
   location = {New York, US},
   publisher = {Association for Computing Machinery},
   ISBN = {978-1-60558-460-7},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=8882}
}