Privacy Protection in Vehicle Platooning: Challenges, Technologies, and Future Directions
Main Article Content
Keywords
key word, vehicle platooning, privacy protection, internet of vehicles
Abstract
Vehicle platooning technology significantly enhances traffic efficiency and safety but introduces substantial privacy challenges. These include traditional threats like information leakage, data correlation, and sophisticated forgery attacks, which can mislead vehicle decisions and behaviors. To mitigate these, current research explores core protection strategies such as anonymization, differential privacy, various encryption techniques, trust management, and fine-grained access control. This paper also highlights the burgeoning role of blockchain in providing decentralized management and facilitating privacy-preserving machine learning within platooning systems. Despite advancements, significant hurdles persist concerning performance optimization, balancing security with privacy, ensuring real-time processing, guaranteeing robustness against evolving threats, and achieving standardization. This study systematically analyzes existing privacy protection technologies tailored for vehicle platooning, providing a comprehensive overview and identifying critical future research directions to foster secure and widespread adoption of this transformative technology.
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