Detail výsledku

Evolutionary Design of Message Efficient Secrecy Amplification Protocols

SMOLKA, T.; ŠVENDA, P.; SEKANINA, L.; MATYÁŠ, V. Evolutionary Design of Message Efficient Secrecy Amplification Protocols. Proc. of the 15th European Conference on Genetic Programming. Lecture Notes in Computer Science. Heidelberg: Springer Verlag, 2012. p. 194-205. ISBN: 978-3-642-29138-8.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Smolka Tobiáš
Švenda Petr
Sekanina Lukáš, prof. Ing., Ph.D., UPSY (FIT)
Matyáš Václav, Dr.
Abstrakt

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.

Klíčová slova

linear genetic programming, wireless sensor network, security

URL
Rok
2012
Strany
194–205
Sborník
Proc. of the 15th European Conference on Genetic Programming
Řada
Lecture Notes in Computer Science
Svazek
7244
Konference
15th European Conference on Genetic Programming
ISBN
978-3-642-29138-8
Vydavatel
Springer Verlag
Místo
Heidelberg
DOI
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/"
}
Soubory
Projekty
Centrum excelence IT4Innovations, MŠMT, Operační program Výzkum a vývoj pro inovace, ED1.1.00/02.0070, zahájení: 2011-01-01, ukončení: 2015-12-31, ukončen
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