Publication Type

Journal Article

Version

publishedVersion

Publication Date

9-2022

Abstract

Cloud-based VANETs are designed to enable communication between high-speed vehicles. In such a highly dynamic environment, how to provide secure and anonymous communication service is a challenge. In this article, we affirmatively address the challenge by proposing a traitor-resistant and dynamic anonymous communication framework (TD-ACF) for cloud-based VANETs, which supports several advantageous features. In TD-ACF, each vehicle is represented by a set of attributes instead of its real identity, and the driving data is transmitted in encrypted form. Therefore, the anonymous authentication and the confidentiality of driving data are achieved in this way. Meanwhile, TD-ACF supports two practical requirements in cloud-based VANETs: the revocation and the traceability of traitor. For the former, TD-ACF can force a vehicle to exit the communication network at any moment. We employ an efficient binary tree algorithm to reduce the size of key updates for revocation from the traditional linear to the logarithmic level. For the latter, we overcome the barrier of the one-to-many relationship between a vehicle and the shared set of attributes to support traitor tracing. In TD-ACF, unlike most existing schemes, the Semi-Trusted Cloud (STC) can directly capture and punish a traitor instead of querying all the records in the list of unrevoked vehicles. In addition, we solve the key escrow problem that plagues most existing attribute-based schemes. The theoretical analysis and experimental simulation show that the proposed scheme is feasible and effective.

Keywords

Vehicular Ad Hoc Networks, Vehicle Dynamics, Authentication, Generators, Encryption, Data Privacy, Binary Trees, Cloud Services, Cloud Based VANE Ts, Dynamic, Attributed Based, Traceability, Key Escrow Resistance

Discipline

Information Security

Research Areas

Cybersecurity

Publication

IEEE Transactions on Services Computing

Volume

15

Issue

5

First Page

2551

Last Page

2564

ISSN

1939-1374

Identifier

10.1109/TSC.2021.3071156

Publisher

Institute of Electrical and Electronics Engineers

Additional URL

https://doi.org/10.1109/TSC.2021.3071156

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