Lightweight and Bilateral Controllable Data Sharing for Secure Autonomous Vehicles Platooning Service
Yangyang Bao, Rongxing Lu, Songnian Zhang, Xiaochun Cheng, Huijuan Lian, Yunguo Guan, Weidong Qiu
Abstract
Autonomous vehicle platoons are emerging as a promising solution to modern urban governance challenges, such as traffic congestion, air pollution, and fuel waste. As a data-driven paradigm, ensuring secure data sharing is a key challenge for autonomous vehicle platoon applications. However, existing research on secure data sharing of autonomous vehicles platoon suffers from practical weaknesses such as privacy leakage, lack of flexible data source identification, and inefficiency. Motivated by that, this paper first proposes the LFBA scheme, which is the first fine-grained data sharing framework that supports bilateral access control and access policy hiding with lightweight and almost constant computational and storage resources consumption, this can be owed to the sophisticated algorithm structure we designed. We then construct an edge-assisted deployment model over LFBA (EA-LFBA) to further improve efficiency and security against common attacks. We then provide the security proof for LFBA, and security analysis for EA-LFBA. Simulation tests and comparative experiments demonstrate the practicality and superiority of our solution compared to state-of-the-art representative works.