Location-aware Verification for Autonomous Truck Platooning Based on Blockchain and Zero-knowledge Proof
arXiv:2305.16868 · doi:10.1109/ICBC51069.2021.9461116
Abstract
Platooning technologies enable trucks to drive cooperatively and automatically, which bring benefits including less fuel consumption, more road capacity and safety. In order to establish trust during dynamic platoon formation, ensure vehicular data integrity, and guard platoons against potential attackers, it is pivotal to verify any given vehicle's identity information before granting it access to join a platoon. To address this concern in dynamic truck platooning, we present a novel location-aware and privacy-preserving verification protocol based on zero-knowledge proof and permissioned blockchain. By performing the verification process within the spatially-local area defined by a given platoon, our system can provide lower latency and communication overhead compared to a location-agnostic blockchain system. We prototype the proposed system and perform benchmark tests on the Hyperledger platform. The experimental results show that our system is suitable for real-world truck platooning.
Published in 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC). arXiv admin note: text overlap with arXiv:2010.14037
Cited by in corpus (5)
- A Hierarchical and Location-aware Consensus Protocol for IoT-Blockchain Applications
- BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction
- Aggregated Zero-knowledge Proof and Blockchain-Empowered Authentication for Autonomous Truck Platooning
- P-CFT: A Privacy-preserving and Crash Fault Tolerant Consensus Algorithm for Permissioned Blockchains
- A Location-based and Hierarchical Framework for Fast Consensus in Blockchain Networks