A Fast FPGA-Based Classification of Application Protocols Optimized Using Cartesian GP

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

@InProceedings{Grochol:2015:evoApplications,
  author =       "David Grochol and Lukas Sekanina and Martin Zadnik and 
                 Jan Korenek",
  title =        "A Fast {FPGA}-Based Classification of Application
                 Protocols Optimized Using {Cartesian GP}",
  booktitle =    "18th European Conference on the Applications of
                 Evolutionary Computation",
  year =         "2015",
  editor =       "Antonio M. Mora and Giovanni Squillero",
  series =       "LNCS",
  volume =       "9028",
  publisher =    "Springer",
  pages =        "67--78",
  address =      "Copenhagen",
  month =        "8-10 " # apr,
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 genetic programming",
  isbn13 =       "978-3-319-16548-6",
  DOI =          "doi:10:10.1007/978-3-319-16549-3_6",
  abstract =     "This paper deals with design of an application
                 protocol classifier intended for high speed networks
                 operating at 100 Gbps. Because a very low latency is
                 the main design constraint, the classifier is
                 constructed as a combinational circuit in a field
                 programmable gate array. The classification is
                 performed using the first packet carrying the
                 application payload. In order to further reduce the
                 latency, the circuit is optimised by Cartesian genetic
                 programming. Using a real network data, we demonstrated
                 viability of our approach in task of a very fast
                 classification of three application protocols (HTTP,
                 SMTP, SSH).",
  notes =        "COMNET EvoApplications2015 held in conjunction with
                 EuroGP'2015, EvoCOP2015 and EvoMusArt2015
                 http://www.evostar.org/2015/cfp_evoapps.php",
}

Genetic Programming entries for David Grochol Lukas Sekanina Martin Zadnik Jan Korenek

Citations