A New Fuzzy Logic Based Model for Location Trust Estimation in Electric Vehicular Networks
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Vehicular networks are designed to provide a set of applications in order to maintain the traffic safety and efficiency. The effectiveness of these applications depends on the accuracy of the location information provided by vehicles. Accordingly, the presence of malicious vehicles that broadcast fake location information can threaten the traffic safety. In this paper, we propose a new fuzzy-based trust model that aims at detecting the wrong position information that mismatches with the vehicle’s behavior. Simulation results prove the performance of the proposed model to detect the erroneous location information with high precision.
This work was supported by the PHC Utique program of the French Ministry of Foreign Affairs and Ministry of higher education and research and the Tunisian Ministry of higher education and scientific research in the CMCU project number 16G1404.
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