V2V-ESP: Vehicle-to-Vehicle Energy Sharing Privacy Protection Scheme Based on SDP Algorithm

Insufficient availability of electric vehicle (EV) charging infrastructure is a pressing issue, and vehicle-to-vehicle (V2V) energy trading offers a potential solution. V2V power transactions provide advantages like location flexibility and cost-effectiveness, but also entail privacy risks. Addressing user privacy concerns is a critical challenge. In this work, we propose a V2V energy sharing privacy protection scheme based on shuffle differential privacy (V2V-ESP). Our scheme utilizes a skeletal framework of critical locations to depict trajectories, extracting key positions that optimize computational efficiency while preserving essential trajectory features. By shuffle differential privacy method, we achieve a balance between data privacy and utility, effectively severing associations between messages and their owners through shuffling mechanisms. Additionally, we introduce a position perturbation algorithm that enhances data privacy protection and utility optimization by analyzing the context of EV route preservation. To validate V2V-ESP's effectiveness, we evaluate the scheme using real traffic trajectories from Beijing taxis. Results demonstrate the solution's independence from trusted third parties and effectively thwarts attacks involving multi-round location attack, global attack, trajectory inference attack and uniform attack. V2V-ESP scheme provides robust technical support for the future development and widespread adoption of EVs.