Evaluating Reputation Management Schemes of Internet of Vehicles Based on Evolutionary Game Theory

Conducting reputation management is very important for Internet of vehicles. However, most of the existing work evaluate the effectiveness of their schemes with settled attacking behaviors in their simulation, which cannot represent the real scenarios. In this paper, the authors propose to consider dynamical and diversity attacking strategies in the simulation of reputation management scheme evaluation. To that end, the authors apply evolutionary game theory to model the evolution process of malicious users’ attacking strategies, and discuss the methodology of the evaluation simulations. The authors further apply their evaluation method to a reputation management scheme with multiple utility functions, and discuss the evaluation results. The results indicate that the authors' evaluation method is able to depict the evolving process of the dynamic attacking strategies in a vehicular network, and the final state of the simulation could be used to quantify the protection effectiveness of the reputation management scheme.

Language

  • English

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  • Accession Number: 01710870
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 20 2019 3:47PM