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Secure and Lightweight Conditional Privacy-Preserving Authentication for Fog-Based Vehicular Ad-Hoc Networks.pdf (4.62 MB)

Secure and Lightweight Conditional Privacy-Preserving Authentication for Fog-Based Vehicular Ad Hoc Networks

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journal contribution
posted on 2022-06-30, 14:28 authored by Hong Zhong, Lei Chen, Jie Cui, Jing Zhang, Irina Bolodurina, Lu Liu
Vehicular ad hoc networks (VANETs) play an ever-increasing important role in improving traffic management and enhancing driving safety. However, vehicular communication using a wireless channel faces security and privacy challenges. The conditional privacy-preserving authentication (CPPA) scheme is suitable for solving the above challenges, but the existing identity-based CPPA schemes suffer from inborn key escrow issues. Motivated by this, we propose a lightweight CPPA scheme based on elliptic curve cryptography to solve the above issues, in which the pseudonym and public/private key pair of the vehicle is generated by itself, so that the proposed scheme avoids the key escrow issue. Furthermore, to achieve efficient vehicular communication, a CPPA scheme is proposed using a fog computing model that supports mobility, low latency, and location awareness. The pseudonym of the vehicle is generated by two hash chains in the proposed scheme, so that the storage overhead can be reduced efficiently under the condition that backward security is guaranteed. Security analysis shows that the scheme is secure under the random oracle and satisfies the security requirements of VANETs. Performance evaluation demonstrates that the proposed scheme outperforms related schemes in terms of computational and communication overhead.

Funding

10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 62011530046, 61872001 and U1936220)

Excellent Youth Foundation of Anhui Scientific Committee (Grant Number: 2108085J31)

10.13039/501100002261-Russian Foundation for Basic Research (Grant Number: 20-57-53019)

Special Fund for Key Program of Science and Technology of Anhui Province, China (Grant Number: 202003A05020043)

History

Citation

IEEE Internet of Things Journal ( Volume: 9, Issue: 11, June1, 1 2022)

Author affiliation

School of Informatics, University of Leicester

Version

  • AM (Accepted Manuscript)

Published in

IEEE INTERNET OF THINGS JOURNAL

Volume

9

Issue

11

Pagination

8485 - 8497

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

issn

2327-4662

eissn

2327-4662

Copyright date

2022

Available date

2022-06-30

Language

English