Publication Type

Journal Article

Version

acceptedVersion

Publication Date

8-2024

Abstract

Many existing anonymous parking payment schemes lack high efficiency and flexibility. For instance, the calculation and communication costs involved in payment may linearly increase with the payment amount. In this paper, we propose an anonymous payment system (dubbed AnoPay) for vehicle parking, which leverages updatable attribute-based anonymous credentials and efficient zero-knowledge proof (ZKP) to achieve user anonymity and constant overhead for parking fee payment. To further improve the efficiency, we design a secure parking fee aggregation protocol based on linear homomorphic encryption to aggregate parking transactions, where the amount of each parking transaction is hidden and the privacy of the parking lot in terms of its revenue is guaranteed. AnoPay achieves both unlinkability and accountability, malicious payments can be efficiently traced when it is necessary. We provide a security model and rigorous proof for each security property of AnoPay. Extensive experiments and comparisons demonstrate the efficiency and practicality of the system.

Keywords

Vehicles, Privacy, Authentication, Navigation, Security, Protocols, Real Time Systems, Anonymous Payment, Updatable Credential, Zero Knowledge Proof, Vehicle Parking, Anonymous Payment

Discipline

Information Security

Publication

IEEE Transactions on Dependable and Secure Computing

Volume

21

Issue

4

First Page

1621

Last Page

1638

ISSN

1545-5971

Identifier

10.1109/TDSC.2023.3287228

Publisher

Institute of Electrical and Electronics Engineers

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/TDSC.2023.3287228

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