Mutual and Batch Authentication With Conditional Privacy-Preserving Scheme for V2G Communication System

Abstract

The increasing adoption of intelligent Electric Vehicles $(EVs)$ in the realm of transportation has raised significant concerns pertaining to security aspects within the Vehicle-to-Grid $(V2G)$ communication system. This includes issues related to authentication, integrity, confidentiality, privacy, and the effective tracking of EVs. While numerous researchers have proposed solutions to address these security challenges, the existing schemes often exhibit a considerable demand for computational and communication resources. This renders them impractical for resource-limited $V2G$ setups operating within the Internet-of-Things $(IoT)$ framework. To address these limitations, this paper introduces an energy-efficient mutual and batch authentication scheme tailored specifically for $V2G$ communication systems within the IoT paradigm. Through a meticulous security and performance analysis, our proposed scheme demonstrates its proficiency in providing essential security features, including robust authentication and privacy safeguards, while significantly minimizing both computational and communication complexity. The outcomes of our analysis affirm that the proposed approach is well-suited for the unique constraints of IoT-based $V2G$ communication systems, offering a balanced and resource-efficient solution to enhance overall security and performance.

Keywords

• Authentication
• confidentiality
• electric vehicle
• integrity
• privacy
• vehicle-to-grid communication