Publication detail

Evolutionary Design of Message Efficient Secrecy Amplification Protocols

SMOLKA, T. ŠVENDA, P. SEKANINA, L. MATYÁŠ, V.

Original Title

Evolutionary Design of Message Efficient Secrecy Amplification Protocols

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

linear genetic programming, wireless sensor network, security

Authors

SMOLKA, T.; ŠVENDA, P.; SEKANINA, L.; MATYÁŠ, V.

RIV year

2012

Released

25. 1. 2012

Publisher

Springer Verlag

Location

Heidelberg

ISBN

978-3-642-29138-8

Book

Proc. of the 15th European Conference on Genetic Programming

Edition

Lecture Notes in Computer Science

Pages from

194

Pages to

205

Pages count

12

URL

https://www.fit.vut.cz/research/publication/9872/

BibTex

@inproceedings{BUT91463,
  author="Tobiáš {Smolka} and Petr {Švenda} and Lukáš {Sekanina} and Václav {Matyáš}",
  title="Evolutionary Design of Message Efficient Secrecy Amplification Protocols",
  booktitle="Proc. of the 15th European Conference on Genetic Programming",
  year="2012",
  series="Lecture Notes in Computer Science",
  volume="7244",
  pages="194--205",
  publisher="Springer Verlag",
  address="Heidelberg",
  doi="10.1007/978-3-642-29139-5\{_}17",
  isbn="978-3-642-29138-8",
  url="https://www.fit.vut.cz/research/publication/9872/"
}