Title: Research on key technologies of cross-domain authentication for intelligent vehicle networks based on massive identity resolution

Authors: Tianshun Wang; Zun Li; Xiangzhen Zhou; Lifang Fu; Xiaoyu Li

Addresses: College of Information Engineering, Zhengzhou Shengda University, Zhengzhou, 451191, China ' College of Information Engineering, Shangqiu Technician College, Shangqiu, 476000, China ' College of Information Engineering, Zhengzhou Shengda University, Zhengzhou, 451191, China ' College of Information Engineering, Zhengzhou Shengda University, Zhengzhou, 451191, China ' School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China

Abstract: With the rapid development of information and network communication technologies, especially in vehicle networking, information security issues have become more prominent. Public-key cryptography is widely used, but traditional PKI/CA systems, which require multi-layered CA institutions for certificate provision, have high construction and maintenance costs. In addition, a large number of network terminals face challenges such as resource constraints, high cross-domain processing requirements, and strict latency demands. These issues impact the user experience and hinder the growth of IoT applications. To address this, we propose a lightweight cross-domain authentication scheme (LWCDA) for intelligent vehicle networks. This article utilises identity-based encryption, adopting the same public key parameters across different domains to enable cross-domain authentication for terminal devices. This scheme optimises identity authentication, key management, and privacy protection, enhancing the efficiency and security of cross-domain authentication while ensuring secure communication in complex environments.

Keywords: massive; cross-domain; lightweight; intelligent vehicle.

DOI: 10.1504/IJICS.2025.150030

International Journal of Information and Computer Security, 2025 Vol.28 No.4, pp.474 - 492

Received: 19 Dec 2024
Accepted: 30 Jul 2025
Published online: 21 Nov 2025 *

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