Cyber security analysis of connected vehicles

IF 2.3 4区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IET Intelligent Transport Systems Pub Date : 2024-04-12 DOI:10.1049/itr2.12504

Maria Drolence Mwanje, Omprakash Kaiwartya, Mohammad Aljaidi, Yue Cao, Sushil Kumar, Devki Nandan Jha, Abdallah Naser, Jaime Lloret

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Abstract

The sensor-enabled in-vehicle communication and infrastructure-centric vehicle-to-everything (V2X) communications have significantly contributed to the spark in the amount of data exchange in the connected and autonomous vehicles (CAV) environment. The growing vehicular communications pose a potential cyber security risk considering online vehicle hijacking. Therefore, there is a critical need to prioritize the cyber security issues in the CAV research theme. In this context, this paper presents a cyber security analysis of connected vehicle traffic environments (CyACV). Specifically, potential cyber security attacks in CAV are critically investigated and validated via experimental data sets. Trust in V2X communication for connected vehicles is explored in detail focusing on trust computation and trust management approaches and related challenges. A wide range of trust-based cyber security solutions for CAV have been critically investigated considering their strengths and weaknesses. Open research directions have been highlighted as potential new research themes in CAV cyber security area.

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联网车辆的网络安全分析

支持传感器的车载通信和以基础设施为中心的 "车对万物"（V2X）通信极大地促进了互联和自动驾驶汽车（CAV）环境中数据交换量的增长。考虑到在线车辆劫持，不断增长的车辆通信带来了潜在的网络安全风险。因此，亟需在 CAV 研究主题中优先考虑网络安全问题。在此背景下，本文对互联车辆交通环境（CyACV）进行了网络安全分析。具体而言，本文通过实验数据集对 CAV 中潜在的网络安全攻击进行了批判性研究和验证。详细探讨了互联车辆 V2X 通信中的信任问题，重点是信任计算和信任管理方法及相关挑战。考虑到各种基于信任的 CAV 网络安全解决方案的优缺点，对其进行了批判性研究。作为 CAV 网络安全领域潜在的新研究课题，还强调了开放式研究方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IET Intelligent Transport Systems 工程技术-运输科技

CiteScore

6.50

自引率

7.40%

发文量

159

审稿时长

3 months

期刊介绍： IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following: Sustainable traffic solutions Deployments with enabling technologies Pervasive monitoring Applications; demonstrations and evaluation Economic and behavioural analyses of ITS services and scenario Data Integration and analytics Information collection and processing; image processing applications in ITS ITS aspects of electric vehicles Autonomous vehicles; connected vehicle systems; In-vehicle ITS, safety and vulnerable road user aspects Mobility as a service systems Traffic management and control Public transport systems technologies Fleet and public transport logistics Emergency and incident management Demand management and electronic payment systems Traffic related air pollution management Policy and institutional issues Interoperability, standards and architectures Funding scenarios Enforcement Human machine interaction Education, training and outreach Current Special Issue Call for papers: Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf