GenTrust: A genetic trust management model for peer-to-peer systems

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@Article{Tahta:2015:ASC,
  author =       "Ugur Eray Tahta and Sevil Sen and Ahmet Burak Can",
  title =        "GenTrust: A genetic trust management model for
                 peer-to-peer systems",
  journal =      "Applied Soft Computing",
  volume =       "34",
  pages =        "693--704",
  year =         "2015",
  ISSN =         "1568-4946",
  DOI =          "doi:10.1016/j.asoc.2015.04.053",
  URL =          "http://www.sciencedirect.com/science/article/pii/S156849461500280X",
  abstract =     "In recent years, peer-to-peer systems have attracted
                 significant interest by offering diverse and easily
                 accessible sharing environments to users. However, this
                 flexibility of P2P systems introduces security
                 vulnerabilities. Peers often interact with unknown or
                 unfamiliar peers and become vulnerable to a wide
                 variety of attacks. Therefore, having a robust trust
                 management model is critical for such open environments
                 in order to exclude unreliable peers from the system.
                 In this study, a new trust model for peer-to-peer
                 networks called GenTrust is proposed. GenTrust has
                 evolved by using genetic programming. In this model, a
                 peer calculates the trustworthiness of another peer
                 based on the features extracted from past interactions
                 and the recommendations. Since the proposed model does
                 not rely on any central authority or global trust
                 values, it suits the decentralized nature of P2P
                 networks. Moreover, the experimental results show that
                 the model is very effective against various attackers,
                 namely individual, collaborative, and pseudospoofing
                 attackers. An analysis on features is also carried out
                 in order to explore their effects on the results. This
                 is the first study which investigates the use of
                 genetic programming on trust management.",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 computation, Trust models, Reputation, Peer-to-peer
                 systems",
}

Genetic Programming entries for Ugur Eray Tahta Sevil Sen Ahmet Burak Can

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