A novel approach to decoding: Exploiting anticipated attack information using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Khan:2006:IJKBIES,
  author =       "Asifullah Khan",
  title =        "A novel approach to decoding: Exploiting anticipated
                 attack information using genetic programming",
  journal =      "International Journal of Knowledge-Based and
                 Intelligent Engineering Systems",
  year =         "2006",
  volume =       "10",
  number =       "5",
  pages =        "337--346",
  keywords =     "genetic algorithms, genetic programming, Watermarking,
                 Genetic Programming (GP), Decoder, Discrete Cosine
                 Transform (DCT), and Sufficient Statistics",
  ISSN =         "1327-2314",
  URL =          "http://content.iospress.com/articles/international-journal-of-knowledge-based-and-intelligent-engineering-systems/kes00078",
  size =         "10 pages",
  abstract =     "In a water marking system, the decoder structures are
                 mostly fixed. They do not account for the normal
                 processing or intentional attacks. In the present work,
                 a method of automatically modifying the decoder
                 structure in accordance to the given cover image and
                 conceivable attack is illustrated. The proposed Genetic
                 Programming based watermark decoding scheme is a blind
                 one. It exploits the search space regarding types of
                 dependencies of the decoder on different factors.
                 Especially, information pertaining to watermarked cover
                 coefficients is used to reduce host interference, while
                 the conceivable-attack information is used to
                 circumvent the anticipated distortion. The actual
                 performance of the genetic decoder is assessed through
                 experiments, which justify the use of intelligent
                 search techniques in signal detection/decoding.
                 Simulation results show that the resultant genetic
                 decoder has superior performance as compared to the
                 conventional decoder against the attacks of Checkmark
                 benchmark.",
}

Genetic Programming entries for Asifullah Khan

Citations