Unveiling Skype encrypted tunnels using GP

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

  author =       "Riyad Alshammari and A. Nur Zincir-Heywood",
  title =        "Unveiling Skype encrypted tunnels using GP",
  booktitle =    "IEEE Congress on Evolutionary Computation (CEC 2010)",
  year =         "2010",
  address =      "Barcelona, Spain",
  month =        "18-23 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-4244-6910-9",
  abstract =     "The classification of Encrypted Traffic, namely Skype,
                 from network traffic represents a particularly
                 challenging problem. Solutions should ideally be both
                 simple -therefore efficient to deploy -and accurate.
                 Recent advances to team-based Genetic Programming
                 provide the opportunity to decompose the original
                 problem into a subset of classifiers with
                 non-overlapping behaviours. Thus, in this work we have
                 investigated the identification of Skype encrypted
                 traffic using Symbiotic Bid-Based (SBB) paradigm of
                 team based Genetic Programming (GP) found on flow
                 features without using IP addresses, port numbers and
                 payload data. Evaluation of SBB-GP against C4.5 and
                 AdaBoost -representing current best practice -indicates
                 that SBB-GP solutions are capable of providing simpler
                 solutions in terms number of features used and the
                 complexity of the solution/model without sacrificing
  DOI =          "doi:10.1109/CEC.2010.5586288",
  notes =        "WCCI 2010. Also known as \cite{5586288}",

Genetic Programming entries for Riyad Alshammari Nur Zincir-Heywood