TY - JOUR
T1 - Evaluating Reputation Management Schemes of Internet of Vehicles Based on Evolutionary Game Theory
AU - Tian, Zhihong
AU - Gao, Xiangsong
AU - Su, Shen
AU - Qiu, Jing
AU - Du, Xiaojiang
AU - Guizani, Mohsen
N1 - Publisher Copyright:
© 1967-2012 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - 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, 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.
AB - 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, 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.
KW - Internet of vehicles
KW - Reputation management scheme
KW - evolutionary game theory
KW - malicious users
KW - utility function
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U2 - 10.1109/TVT.2019.2910217
DO - 10.1109/TVT.2019.2910217
M3 - Article
AN - SCOPUS:85067312636
SN - 0018-9545
VL - 68
SP - 5971
EP - 5980
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 6
M1 - 8685209
ER -