A Selective Data Sharing and Retrieval Scheme in Edge-Enabled IoV

Abstract

The swift advancement of the Internet of Vehicles (IoV) has generated a vast amount of valuable data, leading to an increasing demand for IoV data sharing. Given the substantial volume of data that often contains sensitive information about vehicle owners, storing such data in an encrypted format is common practice to ensure its confidentiality. However, this storage method presents a significant data-sharing challenge: retrieving encrypted data. In this paper, we address the issue of private data sharing and retrieval by proposing a selective data sharing and retrieval scheme for edge-enabled IoV. Our approach introduces a novel IoV architecture based on blockchain and edge computing, which delegates most computational tasks to edge nodes, thus conserving the computational resources of vehicles and users. Additionally, we design an attribute-based searchable encryption scheme that supports users in performing fine-grained data retrieval and outsourced data decryption. Our scheme accommodates a large attribute universe, offers a flexible access policy, and conserves computational resources during user decryption. Finally, an in-depth evaluation of the proposed scheme's performance is conducted, showcasing its feasibility and practicality through experimental results. The results confirm our scheme's effectiveness and reinforce its viability for real-world applications.