H3PC: Enhanced Security and Privacy-Preserving Platoon Construction Based on Fully Homomorphic Encryption.

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)(2023)

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摘要
With the increasing adoption of connected and autonomous vehicles, platooning services have emerged as a promising solution to enhance road traffic efficiency. However, the widespread deployment of platooning services raises concerns about the privacy and security of sensitive vehicle data. This paper proposes a novel privacy-preserving framework for platoon formation, named H3PC (Homomorphic Privacy-Preserving Platooning Construction), to address privacy and security challenges. The proposed approach is based on fully homomorphic encryption and order-preserving encryption, to enable secure and private operations within the platoon construction. In addition, the H3PC framework incorporates a safe vehicle control method that adheres to established norms in the literature. By striking a balance between security and computational efficiency, H3PC enables effective platooning construction. Furthermore, we present experimental results demonstrating the performance and latency of H3PC.
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关键词
Fully Homomorphic Encryption,Control Method,Sensitive Data,Autonomous Vehicles,Traffic Efficiency,Communication Systems,Linear Equation,Real Numbers,Target Location,General Data Protection Regulation,Addition Operations,Secret Key,Constant Distance,Safe Distance,Road Conditions,Public Key,Vehicle Position,Encrypted Data,Intelligent Transportation Systems,Key Generation,Encryption Techniques,Security Parameter,Traffic Scenarios,Cryptographic Techniques,Target Speed,Decoding,Hardness,Traffic Conditions,Square Root,Bootstrapping Technique
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