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The Application of Evolutionary Heuristics for Solving Soft Security Issues in MANETs

  • Marcin Seredynski
  • Pascal Bouvry
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 394)

Abstract

The goal of this chapter is to demonstrate how the problem of selfish behaviour in mobile ad hoc networks can be solved by means of a soft security approach based on evolutionary game theory. In general, the problem is solved by means of a trust system that allows a node to distinguish between cooperative and selfish network participants, prior to providing them with a forwarding service. Our approach combines a classical trust system with an evolutionary game-theoretic model. The model aims at tuning the parameters of the trust system. We focus on the properties of the trust system that would allow nodes to develop cooperation on the grounds of direct and indirect reciprocity. In particular, we demonstrate, that the numbers of selfish and altruistic nodes have a significant influence on the desired settings of the system.

Keywords

Trust Data Trust System Evolutionary Game Small Network Reputation System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Interdisciplinary Centre for Security, Reliability and TrustUniversity of LuxembourgLuxembourgLuxembourg
  2. 2.Faculty of Sciences, Technology and CommunicationUniversity of LuxembourgLuxembourgLuxembourg

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