EAIA: An Efficient and Anonymous Identity-Authentication Scheme in 5G-V2V

Author:

Du Qianmin1,Zhou Jianhong1ORCID,Ma Maode2ORCID

Affiliation:

1. School of Computer and Software Engineering, Xihua University, Chengdu 610039, China

2. KINDI Computing Research Center, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar

Abstract

Vehicle Ad-hoc Networks (VANETs) have experienced significant development in recent years, playing a crucial role in enhancing the driving experience by enabling safer and more efficient inter-vehicle interactions through information exchange. Vehicle-to-Vehicle (V2V) communication is particularly vital as it not only helps to prevent collisions and improve traffic efficiency but also provides essential situational awareness to drivers or autonomous driving systems. Communication is typically supported by roadside units (RSUs); however, in practical applications, vehicles may exceed the communication range of RSUs, thus exposing them to various malicious attacks. Additionally, considering the limited computational resources of onboard units (OBUs) in vehicles, there is a high demand for designing lightweight security protocols that support V2V communication. To address this issue, this paper proposes an efficient anonymous V2V identity-authentication protocol tailored for scenarios that lack RSU support. The proposed protocol was formally assessed using the Scyther tool, demonstrating its capability to withstand major typical malicious attacks. Performance evaluations indicate that the proposed protocol is efficient in terms of communication and computational overhead, making it a viable solution for V2V communication.

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

MDPI AG

Reference32 articles.

1. Survey on existing authentication issues for cellular-assisted V2X communication;Muhammad;Veh. Commun.,2018

2. A Vision of C-V2X: Technologies, Field Testing, and Challenges with Chinese Development;Chen;IEEE Internet Things J.,2020

3. V2V Communication and Authentication: The Internet of Things Vehicles(Iotv);Peter;Kluw. Commun.,2021

4. A Secure Group-Oriented Device-to-Device Authentication Protocol for 5G Wireless Networks;Shang;IEEE Trans. Wireless Commun.,2020

5. Weerasinghe, N., Usman, M.A., Hewage, C., Pfluegel, E., and Politis, C. (2023). Threshold Cryptography-Based Secure Vehicle-to-Everything (V2X) Communication in 5G-Enabled Intelligent Transportation Systems. Future Internet, 15.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3