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融合传感、通信、计算与智能的车联网安全:全面综述

Security for the Internet of Vehicles with Integration of Sensing, Communication, Computing, and Intelligence: A Comprehensive Survey.

作者信息

He Chao, Wang Wanting, Jiang Wenhui, He Zijian, Wang Jiacheng, Xie Xin

机构信息

School of Electronic and Information Engineering, Chongqing Three Gorges University, Chongqing 404100, China.

School of Computer Science and Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore.

出版信息

Sensors (Basel). 2025 Aug 18;25(16):5119. doi: 10.3390/s25165119.

DOI:10.3390/s25165119
PMID:40871983
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12390610/
Abstract

Integration of sensing, communication, computing, and intelligence (ISCCI) represents a pivotal advancement in B5G and 6G technologies, offering transformative potential for the Internet of Vehicles (IoV). As IoV systems become increasingly integral to intelligent transportation and autonomous driving, these systems also face escalating security challenges across multiple layers, including physical, network, application, and system dimensions. (1) This paper comprehensively surveys these security issues, systematically analyzing the threats encountered at each layer and proposing targeted countermeasures to mitigate risks. (2) Furthermore, the paper explores future trends in IoV security, emphasizing the roles of 6G networks, blockchain technology, and digital twins in addressing emerging challenges. (3) Finally, based on a comprehensive review of current research and insights, this paper aims to serve as a foundational reference for advancing secure and sustainable IoV ecosystems.

摘要

传感、通信、计算与智能集成(ISCCI)是B5G和6G技术的一项关键进展,为车联网(IoV)带来了变革潜力。随着车联网系统在智能交通和自动驾驶中变得越来越不可或缺,这些系统在物理、网络、应用和系统等多个层面也面临着不断升级的安全挑战。(1)本文全面调查了这些安全问题,系统分析了各层遇到的威胁,并提出了针对性的对策以降低风险。(2)此外,本文还探讨了车联网安全的未来趋势,强调了6G网络、区块链技术和数字孪生在应对新出现挑战方面的作用。(3)最后,基于对当前研究和见解的全面回顾,本文旨在为推动安全、可持续的车联网生态系统提供基础参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7913/12390610/44b83d223c1d/sensors-25-05119-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7913/12390610/bd738f24bdac/sensors-25-05119-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7913/12390610/e4ea9425fd8b/sensors-25-05119-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7913/12390610/2a0e3ec34c1b/sensors-25-05119-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7913/12390610/2c2af49eb32f/sensors-25-05119-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7913/12390610/984f19b96e2b/sensors-25-05119-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7913/12390610/2fce69dfe006/sensors-25-05119-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7913/12390610/4cdbd26d27e1/sensors-25-05119-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7913/12390610/44b83d223c1d/sensors-25-05119-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7913/12390610/bd738f24bdac/sensors-25-05119-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7913/12390610/e4ea9425fd8b/sensors-25-05119-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7913/12390610/2a0e3ec34c1b/sensors-25-05119-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7913/12390610/2c2af49eb32f/sensors-25-05119-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7913/12390610/984f19b96e2b/sensors-25-05119-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7913/12390610/2fce69dfe006/sensors-25-05119-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7913/12390610/4cdbd26d27e1/sensors-25-05119-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7913/12390610/44b83d223c1d/sensors-25-05119-g008.jpg

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本文引用的文献

1
Advanced machine learning approach for DoS attack resilience in internet of vehicles security.用于车辆互联网安全中抵御拒绝服务攻击的先进机器学习方法。
Heliyon. 2024 Mar 29;10(8):e28844. doi: 10.1016/j.heliyon.2024.e28844. eCollection 2024 Apr 30.
2
Cooperative Perception Technology of Autonomous Driving in the Internet of Vehicles Environment: A Review.车路协同感知技术在车联网环境中的综述
Sensors (Basel). 2022 Jul 25;22(15):5535. doi: 10.3390/s22155535.
3
Driving Environment Perception Based on the Fusion of Vehicular Wireless Communications and Automotive Remote Sensors.
基于车辆无线通信与汽车远程传感器融合的驾驶环境感知
Sensors (Basel). 2021 Mar 7;21(5):1860. doi: 10.3390/s21051860.