  Conducting reputation management is very important for Internet of vehicles.
However, most of the existing researches evaluate the effectiveness of their
schemes with settled attacking behaviors in their simulation which cannot
represent the scenarios in reality. In this paper, we propose to consider
dynamical and diversity attacking strategies in the simulation of reputation
management scheme evaluation. To that end, we apply evolutionary game theory to
model the evolution process of malicious users' attacking strategies, and
discuss the methodology of the evaluation simulations. We further apply our
evaluation method to a reputation management scheme with multiple utility
functions, and discuss the evaluation results. The results indicate that our
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.
