RFAP: a revocable fine-grained access control mechanism for autonomous vehicle platoon
Article
Zhao, Y., Wang, Y., Cheng, X., Chen, H., Yu, H. and Ren, Y. 2022. RFAP: a revocable fine-grained access control mechanism for autonomous vehicle platoon. IEEE Transactions on Intelligent Transportation Systems. 23 (7), pp. 9668-9679. https://doi.org/10.1109/TITS.2021.3105458
| Type | Article |
|---|---|
| Title | RFAP: a revocable fine-grained access control mechanism for autonomous vehicle platoon |
| Authors | Zhao, Y., Wang, Y., Cheng, X., Chen, H., Yu, H. and Ren, Y. |
| Abstract | 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. |
| Keywords | Autonomous vehicle platoon (AVP); access control; attribute-based encryption; immediate revocation; outsourced decryption |
| Publisher | IEEE |
| Journal | IEEE Transactions on Intelligent Transportation Systems |
| ISSN | 1524-9050 |
| Electronic | 1558-0016 |
| Publication dates | |
| Online | 26 Aug 2021 |
| 08 Jul 2022 | |
| Publication process dates | |
| Submitted | 02 Jun 2021 |
| Accepted | 13 Aug 2021 |
| Deposited | 21 Jul 2022 |
| Output status | Published |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/TITS.2021.3105458 |
| Web of Science identifier | WOS:000732881800001 |
| Language | English |
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