Evolutionary Design of Message Efficient Secrecy Amplification Protocols

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{smolka:2012:EuroGP,
  author =       "Tobias Smolka and Petr Svenda and Lukas Sekanina and 
                 Vashek Matyas",
  title =        "Evolutionary Design of Message Efficient Secrecy
                 Amplification Protocols",
  booktitle =    "Proceedings of the 15th European Conference on Genetic
                 Programming, EuroGP 2012",
  year =         "2012",
  month =        "11-13 " # apr,
  editor =       "Alberto Moraglio and Sara Silva and 
                 Krzysztof Krawiec and Penousal Machado and Carlos Cotta",
  series =       "LNCS",
  volume =       "7244",
  publisher =    "Springer Verlag",
  address =      "Malaga, Spain",
  pages =        "194--205",
  organisation = "EvoStar",
  isbn13 =       "978-3-642-29138-8",
  DOI =          "doi:10.1007/978-3-642-29139-5_17",
  keywords =     "genetic algorithms, genetic programming, linear
                 genetic programming, Secrecy amplification,
                 Multi-objective",
  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 95percent 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 optimisation is
                 then used to further reduce the communication overhead
                 down to 1/2 of the original amount while maintaining
                 the original fraction of secure links.",
  notes =        "Part of \cite{Moraglio:2012:GP} EuroGP'2012 held in
                 conjunction with EvoCOP2012 EvoBIO2012, EvoMusArt2012
                 and EvoApplications2012",
}

Genetic Programming entries for Tobias Smolka Petr Svenda Lukas Sekanina Vashek (Vaclav) Matyas

Citations