RFAP: a revocable fine-grained access control mechanism for autonomous vehicle platoon

Zhao, Yanan ORCID logoORCID: https://orcid.org/0000-0001-9568-6831, Wang, Yunpeng, Cheng, Xiaochun ORCID logoORCID: https://orcid.org/0000-0003-0371-9646, Chen, Hengwei ORCID logoORCID: https://orcid.org/0000-0002-1566-338X, Yu, Haiyang ORCID logoORCID: https://orcid.org/0000-0002-0704-7077 and Ren, Yilong ORCID logoORCID: https://orcid.org/0000-0003-3504-8963 (2022) RFAP: a revocable fine-grained access control mechanism for autonomous vehicle platoon. IEEE Transactions on Intelligent Transportation Systems, 23 (7) . pp. 9668-9679. ISSN 1524-9050 [Article] (doi:10.1109/tits.2021.3105458)


Autonomous Vehicle Platoon (AVP) is conceived as a promising solution to enhance the traffic capacity and reduce the energy consumption in the intelligent transportation system. Nevertheless, AVP without security guarantees are prone to various attacks, which probably lead to life-threatening accidents. Motivated by solving this issue, an outsourced attribute-based access control mechanism with direct revocation for AVP (RFAP) is introduced in this paper. Among them, attribute-based encryption is utilized to implement fine-grained access control during the encryption process. Furthermore, RFAP can not only realize the immediate revocation of platoon member who is about to leave the platoon without affecting others, but also achieve secure outsourced decryption with the help of edge computing units for minimizing the computational overhead of decryption on the vehicle side. Security analysis and simulation results indicate that our RFAP mechanism is practical in aspects of security and efficiency.

Item Type: Article
Keywords (uncontrolled): Computer Science Applications, Mechanical Engineering, Automotive Engineering
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 35450
Useful Links:
Depositing User: Jisc Publications Router
Date Deposited: 21 Jul 2022 09:34
Last Modified: 13 Jun 2023 06:26
URI: https://eprints.mdx.ac.uk/id/eprint/35450

Actions (login required)

View Item View Item


Activity Overview
6 month trend
6 month trend

Additional statistics are available via IRStats2.