Zihao Chen∗
Fuzzy evaluation, homomorphic encryption, key generation, traffic mitigation, vehicle detection
Road traffic mitigation requires high-security vehicle density information to prevent adversary influences. This information is vital in forecasting vehicle density to the pursuing vehicle fleet to prevent unnecessary traffic. This article proposes a security model (SM) with comprehensive fuzzy evaluation to ensure the secure transmission of vehicle density data. The proposed SM incorporates flexible homomorphic encryption using min–max comprehension outcomes. The comprehensive outcomes are derived based on the vehicle density data (traffic information) classified by the fuzzy process. In the fuzzy process, the vehicle count in the peak traffic locations in any road segment is identified and classified as high or low. This encryption model relies on this classification information to ensure varying key sizes for information exchange. The keys are generated based on the density factor in any time interval observed; this encryption differs from the conventional method by its differential key formats that are non-monotonous to predict. The extracted information validates the precise integrity of traffic data to maximise vehicle detection count. The proposed method thus achieved 10.48% high integrity and 12.45% less complexity. Besides, the proposed method is reliable in detecting 8.35% of the traffic with 13.49% high information exchange rates.
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