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Blockchain‐based privacy‐preserving valet parking for self‐driving vehicles
Author(s) -
Fang Yunyi,
Zhao Yanqi,
Yu Yong,
Zhu Hui,
Du Xiaojiang,
Guizani Mohsen
Publication year - 2021
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.4239
Subject(s) - computer security , anonymity , oracle , computer science , protocol (science) , blockchain , random oracle , traceability , transparency (behavior) , service (business) , encryption , public key cryptography , business , medicine , alternative medicine , software engineering , pathology , marketing
The valet parking provides convenience for users and thus is becoming increasingly popular nowadays. However, this valet parking service incurs the risks of location information leakage and vehicle theft. To address these issues, in this paper, we propose a blockchain‐based privacy‐preserving valet parking protocol (B‐park) for self‐driving vehicles. The protocol guarantees the privacy of users while providing transparency and auditability of the valet parking service. We define the system model of privacy‐preserving valet parking for self‐driving vehicles in blockchain setting and formalize its security properties including anonymity, conversion blindness, nonframeability, and traceability. We provide a concrete construction of B‐park as well based on a new variant of Pointcheval‐Sanders group signature. Then, we demonstrate that our protocol is secure in the random oracle model. Finally, we evaluate the performance of B‐park to demonstrate its effectiveness and practicability.