Evaluating Reputation Management Schemes of Internet of Vehicles Based on Evolutionary Game Theory
المؤلف | Tian Z. |
المؤلف | Gao X. |
المؤلف | Su S. |
المؤلف | Qiu J. |
المؤلف | Du X. |
المؤلف | Guizani M. |
تاريخ الإتاحة | 2020-03-18T10:47:15Z |
تاريخ النشر | 2019 |
اسم المنشور | IEEE Transactions on Vehicular Technology |
المصدر | Scopus |
الرقم المعياري الدولي للكتاب | 189545 |
الملخص | 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. |
راعي المشروع | National Natural Science Foundation of China |
اللغة | en |
الناشر | Institute of Electrical and Electronics Engineers Inc. |
الموضوع | evolutionary game theory Internet of vehicles malicious users Reputation management scheme utility function |
النوع | Article |
الصفحات | 5971-5980 |
رقم العدد | 6 |
رقم المجلد | 68 |
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