A Fully Auditable Data Propagation Scheme With Dynamic Vehicle Management for EC-ITS

Access control and authenticity are two critical concerns of the encrypted propagating data in edge computing-assisted intelligent transportation systems (EC-ITS). This paper presents a fully traceable and verifiable ciphertext-policy attribute-based encryption scheme with auditable outsourced decryption and dynamic identity revocation (FTV-AOD-DR-CP-ABE) for EC-ITS as a confidential and fine-grained data sharing and acquiring module. The proposed FTV-AOD-DR-CP-ABE is computing-efficient that all the algorithms executed by vehicles including $\mathbf {Enc}$ , $\mathbf {OutKeyGen}$ and $\mathbf {FinalDec}$ are constant complexity. In addition, an efficient identity-based signature and message commitment (IBSMC) algorithm is constructed for the ciphertext and message in our FTV-AOD-DR-CP-ABE to provide both of them with traceable authenticity and verifiability. An outsourced key auditing algorithm $\mathbf {TKAudit}$ is also innovated for RSU to audit the legality and freshness of outsourced key $\mathsf {TK}$ , which can protect the propagating data system against the flooding and DDoS attack with the illegal outsourced keys. Based on the traceability of the ciphertext and outsourced key, a dynamic vehicle revocation mechanism is designed in our scheme. Next the rigorous proofs of the data confidentiality, ciphertext and message traceable verifiability, $\mathsf {TK}$ auditability and revocable security are given in random oracle model (ROM). Finally, by comprehensive comparison and evaluation of the proposed FTV-AOD-DR-CP-ABE with other state-of-the-art data propagating schemes, our FTV-AOD-DR-CP-ABE is more comprehensive.

I. Introduction

Intelligent transportation system (ITS) refers to the use of advanced information and communication technologies (like sensors, communications devices, computers, and control devices) to improve the efficiency, safety, and sustainability of transportation networks. It integrates both infrastructure and vehicles which includes traffic management, traveler information systems, electronic toll collection, and more. ITS can not only provide auxiliary intelligent decision-making for self-driving autonomous vehicles, but also provide intelligent information services for human-driving vehicles; Relying on various ITS components, such as data collection systems, communication networks, and traffic management systems, Autonomous Transportation Systems (ATS) aims to reduce or eliminate the need for human intervention in driving tasks. ITS serves as the foundation and infrastructure for ATS.