Lightweight Certificateless Authentication Scheme With Enhanced Privacy for CAVs

Connected Autonomous Vehicles (CAVs) represent a transformative advancement in transportation, offering enhanced safety, improved traffic efficiency, and reduced environmental impact through intelligent driving. As CAVs operate without human intervention, they heavily rely on secure vehicle-to-vehicle (V2V) communication for cooperative perception and coordinated decision-making. These real-time inter-vehicle exchanges underpin safe coordination, dynamic decision-making, and collision avoidance. To ensure trust in such communication, robust and efficient authentication mechanisms are essential. However, existing schemes often fall short in terms of security resilience and operational practicality. In this paper, we propose a novel Certificateless Signature Scheme with Conditional Privacy-Preserving Authentication (CLSS-CPPA) tailored to CAV environments. The proposed scheme addresses three fundamental limitations in existing schemes: signature forgery vulnerabilities, single-authority dependency, and lack of dynamic revocation capability. Our approach employs distributed key generation to prevent signature forgery attacks, utilizes prefix tree structures for efficient dynamic key revocation, and implements dual-agency pseudonym management with mutual authority constraints to prevent single-entity power abuse. Lightweight cryptographic operations are also adopted to suit resource-constrained vehicular systems. Formal security analysis and extensive evaluations demonstrate that CLSS-CPPA enhances privacy preserving and reduces signing and verifying costs by 20%–90% compared to state-of-the-art schemes, making it a promising solution for real-world CAV deployments.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-09-22
DOI
https://doi.org/10.1109/jiot.2025.3612990
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
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article

Lightweight Certificateless Authentication Scheme With Enhanced Privacy for CAVs

Ying Dong, Jelena Mišić, Vojislav B. Mišić, Xiaolin Chang et al.
IEEE Internet of Things Journal
Advanced Manufacturing and Logistics Optimization
article

Lightweight Certificateless Authentication Scheme With Enhanced Privacy for CAVs

Ying Dong, Jelena Mišić, Vojislav B. Mišić, Xiaolin Chang, Yingying Yao
article en

Abstract

Connected Autonomous Vehicles (CAVs) represent a transformative advancement in transportation, offering enhanced safety, improved traffic efficiency, and reduced environmental impact through intelligent driving. As CAVs operate without human intervention, they heavily rely on secure vehicle-to-vehicle (V2V) communication for cooperative perception and coordinated decision-making. These real-time inter-vehicle exchanges underpin safe coordination, dynamic decision-making, and collision avoidance. To ensure trust in such communication, robust and efficient authentication mechanisms are essential. However, existing schemes often fall short in terms of security resilience and operational practicality. In this paper, we propose a novel Certificateless Signature Scheme with Conditional Privacy-Preserving Authentication (CLSS-CPPA) tailored to CAV environments. The proposed scheme addresses three fundamental limitations in existing schemes: signature forgery vulnerabilities, single-authority dependency, and lack of dynamic revocation capability. Our approach employs distributed key generation to prevent signature forgery attacks, utilizes prefix tree structures for efficient dynamic key revocation, and implements dual-agency pseudonym management with mutual authority constraints to prevent single-entity power abuse. Lightweight cryptographic operations are also adopted to suit resource-constrained vehicular systems. Formal security analysis and extensive evaluations demonstrate that CLSS-CPPA enhances privacy preserving and reduces signing and verifying costs by 20%–90% compared to state-of-the-art schemes, making it a promising solution for real-world CAV deployments.

IEEE Internet of Things JournalVol. 12(24)
Beijing Jiaotong University (CN), Toronto Metropolitan University (CA)
Openalex Percentile: Top 64%
Advanced Manufacturing and Logistics Optimization
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Lightweight Certificateless Authentication Scheme With Enhanced Privacy for CAVs — Ying Dong, Jelena Mišić, et al. · IEEE Internet of Things Journal (2025) | TGRS Research Map | TGRS