Lightweight Cryptographic Techniques for Automotive Cybersecurity

Author:

Jadoon Ahmer Khan1ORCID,Wang Licheng1ORCID,Li Tong2ORCID,Zia Muhammad Azam3

Affiliation:

1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

2. School of Computer Science, Guangzhou University, China

3. Department of Computer Science, University of Agriculture Faisalabad, Pakistan

Abstract

A new integration of wireless communication technologies into the automobile industry has instigated a momentous research interest in the field of Vehicular Ad Hoc Network (VANET) security. Intelligent Transportation Systems (ITS) are set up, aiming to offer promising applications for efficient and safe communication for future automotive technology. Vehicular networks are unique in terms of characteristics, challenges, architecture, and applications. Consequently, security requirements related to vehicular networks are more complex as compared to mobile networks and conventional wireless networks. This article presents a survey about developments in vehicular networks from the perspective of lightweight cryptographic protocols and privacy preserving algorithms. Unique characteristics of vehicular networks are presented which make the embedded security applications computationally hard as well as memory constrained. The current study also deals with the fundamental security requirements, essential for vehicular communication. Furthermore, awareness of security threats and their cryptographic solutions in terms of future automotive industry are discussed. In addition, asymmetric, symmetric, and lightweight cryptographic solutions are summarized. These strategies can be enhanced or incorporated all in all to meet the security perquisites of future cars security.

Funder

National Key Research and Development Program

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Cited by 30 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Systematic Risk Characterisation of Hardware Threats to Automotive Systems;ACM Journal on Autonomous Transportation Systems;2024-08-09

2. The Influence of Artificial Intelligent, Internet of Things and Cyber Security on Supply Chain Management Performance;Green Industrial Applications of Artificial Intelligence and Internet of Things;2024-07-21

3. Cryptographic methods for secured communication in SDN‐based VANETs: A performance analysis;SECURITY AND PRIVACY;2024-07-14

4. Deep Learning-based Intrusion Detection Approach for Autonomous Electric Vehicles;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09

5. A Novel Security Risk Analysis Using the AHP Method in Smart Railway Systems;Applied Sciences;2024-05-16

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