Evolutionary design of secrecy amplification protocols for wireless sensor networks

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Petr Svenda and Lukas Sekanina and Vaclav Matyas",
  title =        "Evolutionary design of secrecy amplification protocols
                 for wireless sensor networks",
  booktitle =    "WiSec '09: Proceedings of the second ACM conference on
                 Wireless network security",
  year =         "2009",
  pages =        "225--236",
  address =      "Zurich, Switzerland",
  publisher_address = "New York, NY, USA",
  month =        mar # " 16-19",
  publisher =    "ACM",
  language =     "english",
  organisation = "SIGSAC: ACM Special Interest Group on Security, Audit,
                 and Control. ACM: Association for Computing Machinery",
  keywords =     "genetic algorithms, genetic programming, Performance,
                 Security, evolutionary algorithms, key establishment,
                 secrecy amplification protocols, wireless sensor
  isbn13 =       "978-1-60558-460-7",
  DOI =          "doi:10.1145/1514274.1514306",
  size =         "12 pages",
  abstract =     "We propose a new method for automatic generation of
                 secrecy amplification protocols for wireless sensor
                 networks, using 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.",
  notes =        "Also known as \cite{1514306}",

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