The Achilles Heel of License Plate Recognition Parking Enforcement: Balancing Privacy Protection and Enforcement

【Author】 Xue, Liang; Gan, Rundong; Lin, Xiaodong

【Source】IEEE INTERNET OF THINGS JOURNAL

【影响因子】10.238

【Abstract】Parking enforcement is crucial for addressing illegal parking in urban areas. In smart cities, the license plate recognition (LPR) systems have been adopted to enhance parking enforcement by enabling automated monitoring and detection of parking violations. However, the extensive information collection raises public privacy concerns about how the data are processed and stored on a central server. To address the privacy issue during parking enforcement and enable flexible data access control with the user consent, we propose a novel privacy-preserving and access-control-enhanced parking enforcement scheme, where the central server cannot obtain the license plate information of vehicles that follow the parking rules and can provide encrypted evidence for detected violations in case of disputes. Specifically, by utilizing the keyed-hash message authentication code, parking enforcement vehicles can generate a parking record based on the location and the license plate number of a vehicle, which is then used to identify whether there is a parking violation for the vehicle. Moreover, by integrating the designed time-based conditional proxy re-encryption scheme, the distributed key generation technique, and the blockchain technology, a central server can provide encrypted and tamper-proof evidence for violations. The evidence can only be decrypted by the corresponding vehicle owners (VOs), and the owners can grant the decryption permission to a judge when there is a dispute. The security analysis demonstrates that our scheme can achieve the privacy preservation of VOs and consent-based data access control. Simulation results show the efficiency and practicability of the proposed scheme.

【Keywords】Servers; Privacy; License plate recognition; Data privacy; Blockchains; Monitoring; Internet of Things; Access control; parking enforcement; privacy preservation; smart city

【发表时间】2024 OCT 15

【收录时间】2024-10-20

【文献类型】实验仿真

【主题类别】

区块链治理-技术治理-隐私保护