Publication Details
Evolutionary Design of Message Efficient Secrecy Amplification Protocols
Švenda Petr, Mgr. (FI MUNI)
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY FIT BUT)
Matyáš Václav, prof. RNDr., M.Sc., Ph.D. (FI MUNI)
linear genetic programming, wireless sensor network, security
Secrecy amplification protocols are mechanisms that can significantly improve security of partially compromised wireless sensor networks (e.g., turning a half-compromised network into the 95% secure one). The main disadvantage of existing protocols is a high communication overhead increasing exponentially with network density. We devise a novel family of these protocols exhibiting only a linear increase of the communication overhead. The protocols are automatically generated by linear genetic programming (LGP) connected to a network simulator. After a deep analysis of various characteristics of this new family of protocols, with a special focus on the tuning of LGP parameters, new and better group-oriented protocols are discovered by LGP. A multi-criteria optimization is then utilized to further reduce the communication overhead down to 1/2 of the original amount while maintaining the original fraction of secure links.
@INPROCEEDINGS{FITPUB9872,
author = "Tobi\'{a}\v{s} Smolka and Petr \v{S}venda and Luk\'{a}\v{s} Sekanina and V\'{a}clav Maty\'{a}\v{s}",
title = "Evolutionary Design of Message Efficient Secrecy Amplification Protocols",
pages = "194--205",
booktitle = "Proc. of the 15th European Conference on Genetic Programming",
series = "Lecture Notes in Computer Science",
volume = 7244,
year = 2012,
location = "Heidelberg, DE",
publisher = "Springer Verlag",
ISBN = "978-3-642-29138-8",
doi = "10.1007/978-3-642-29139-5\_17",
language = "english",
url = "https://www.fit.vut.cz/research/publication/9872"
}