A survey of V2X security protection technologies

Fuyuan CHEN; Zhenjiang DONG; Jiankuo DONG; Minjie XU

doi:10.11959/j.issn.1000-0801.2023046

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A survey of V2X security protection technologies

Topic: Intelligent Connected Vehicle and V2X | 更新时间：2024-06-05

- A survey of V2X security protection technologies
- Telecommunications Science Vol. 39, Issue 3, Pages: 1-15(2023)
- 作者机构：
  
  1. 南京邮电大学，江苏南京 210023
  2. 中汽创智科技有限公司，江苏南京 211106
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2023046
  CLC：
- Published Online：2023-03，
  
  Published：20 March 2023
- 稿件说明：
移动端阅览
Fuyuan CHEN, Zhenjiang DONG, Jiankuo DONG, et al. A survey of V2X security protection technologies[J]. Telecommunications science, 2023, 39(3): 1-15.
DOI：

Fuyuan CHEN, Zhenjiang DONG, Jiankuo DONG, et al. A survey of V2X security protection technologies[J]. Telecommunications science, 2023, 39(3): 1-15. DOI： 10.11959/j.issn.1000-0801.2023046.

摘要

车路云协同的车联网体系已经逐步上升为国家战略，车联网安全关系到行车安全、生命财产安全甚至国家安全，正日益成为行业研究热点。首先介绍了车联网技术架构与安全行业的整体状况；其次，以车联网“车-路-云”技术体系为基准，从车联网终端安全、车联网路侧安全、车联网云端安全 3 个层面，讨论了国内外研究现状，并分析了车联网安全防护领域的问题与挑战；最后，展望了车联网安全防护技术未来的发展与研究重点。

Abstract

The vehicle-road-cloud collaborative V2X system has gradually become a national strategy

and the safety of V2X is related to driving security

life security

property security and even national security

which has increasingly become a hot spot for industry research.Firstly

the overall situation of the V2X security industry and the technology architecture of vehicle-road-cloud collaboration were introduced.Secondly

based on the “vehicle-road-cloud” technology system of V2X

the current status of domestic and international research was discussed

and the remaining problems and challenges in the field of V2X security protection were analyzed from three levels: V2X terminal security

roadside security and cloud security.Finally

the future development and research focus of the V2X security and protection technology were foreseen.

关键词

Keywords

references

陈山枝 , 时岩 , 胡金玲 . 蜂窝车联网(C-V2X)综述 [J ] . 中国科学基金 , 2020 , 34 ( 2 ): 179 - 185 .

CHEN S Z , SHI Y , HU J L . Cellular vehicle to everything (C-V2X):a review [J ] . Bulletin of National Natural Science Foundation of China , 2020 , 34 ( 2 ): 179 - 185 .

陈山枝 , 葛雨明 , 时岩 . 蜂窝车联网(C-V2X)技术发展、应用及展望 [J ] . 电信科学 , 2022 , 38 ( 1 ): 1 - 12 .

CHEN S Z , GE Y M , SHI Y . Technology development,application and prospect of cellular vehicle-to-everything (C-V2X) [J ] . Telecommunications Science , 2022 , 38 ( 1 ): 1 - 12 .

AHMED E , GHARAVI H . Cooperative vehicular networking:a survey [J ] . IEEE Transactions on Intelligent Transportation Systems:a Publication of the IEEE Intelligent Transportation Systems Council , 2018 , 19 ( 3 ): 996 - 1014 .

CAVALCANTI E R , DE SOUZA J A R , SPOHN M A , et al . VANETs’ research over the past decade [J ] . ACM SIGCOMM Computer Communication Review , 2018 , 48 ( 2 ): 31 - 39 .

张宏涛 . 车载信息娱乐系统安全研究 [D ] . 郑州:战略支援部队信息工程大学 , 2021 .

ZHANG H T . Research on security of In-vehicle infotainment system [D ] . Zhengzhou:Information Engineering University , 2021 .

周建华 , 侯英哲 , 吕臣臣 , 等 . 智能网联汽车安全防护技术研究综述 [J ] . 武汉大学学报(理学版) ， 2022 :10.14188/j.1671-8836.2022.0191.

ZHOU J H , HOU Y Z , LYU C C , et al . A review on security and defense technologies for intelligent connected vehicle [J ] . Journal of Wuhan University (Natural Science Edition) , 2022 :10.14188/j.1671-8836.2022.0191.

AMINIFAR A , ELES P , PENG Z B . Optimization of message encryption for real-time applications in embedded systems [J ] . IEEE Transactions on Computers , 2018 , 67 ( 5 ): 748 - 754 .

MUNIR A , KOUSHANFAR F . Design and analysis of secure and dependable automotive CPS:a steer-by-wire case study [J ] . IEEE Transactions on Dependable and Secure Computing , 2020 , 17 ( 4 ): 813 - 827 .

LUO F , HU Q . Security mechanisms design for in-vehicle network gateway [C ] // Proceedings of SAE Technical Paper Series . Warrendale:SAE International , 2018 .

RIZVI S , WILLETT J , PERINO D , et al . Protecting an automobile network using distributed firewall system [C ] // Proceedings of the 2nd International Conference on Internet of Things,Data and Cloud Computing . New York:ACM Press , 2017 : 1 - 6 .

TAYLOR A , JAPKOWICZ N , LEBLANC S . Frequency-based anomaly detection for the automotive CAN bus [C ] // Proceedings of 2015 World Congress on Industrial Control Systems Security (WCICSS) . Piscataway:IEEE Press , 2016 : 45 - 49 .

CHECKOWAY S , MCCOY D , KANTOR B , et al . Comprehensive experimental analyses of automotive attack surfaces [C ] // Proceedings of the 20th USENIX Conference on Security . New York:ACM Press , 2011 :6.

JO H J , KIM J H , CHOI H Y , et al . MAuth-CAN:masquerade-attack-proof authentication for In-vehicle networks [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 2 ): 2204 - 2218 .

BOZDAL M , SAMIE M , ASLAM S , et al . Evaluation of CAN bus security challenges [J ] . Sensors (Basel,Switzerland) , 2020 , 20 ( 8 ): 2364 .

吴尚则 , 秦贵和 , 刘毅 , 等 . 车载控制器局域网络总线的动态口令身份认证方法 [J ] . 西安交通大学学报 , 2017 , 51 ( 6 ): 97 - 102 .

WU S Z , QIN G H , LIU Y , et al . A method for identifying authentication of dynamic passwords for In-vehicle controller area network buses [J ] . Journal of Xi’an Jiaotong University , 2017 , 51 ( 6 ): 97 - 102 .

丁山 , 臧仕义 , 曹殿明 , 等 . 基于动态ID跳变的CAN总线安全调度算法 [J ] . 东北大学学报(自然科学版) , 2022 , 43 ( 3 ): 350 - 358 .

DING S , ZANG S Y , CAO D M , et al . Security scheduling algorithm of CAN bus based on dynamic ID hopping [J ] . Journal of Northeastern University (Natural Science) , 2022 , 43 ( 3 ): 350 - 358 .

LIN C W , SANGIOVANNI-VINCENTELLI A ,, . Cyber-security for the controller area network (CAN) communication protocol [C ] // Proceedings of 2012 International Conference on Cyber Security . Piscataway:IEEE Press , 2013 : 1 - 7 .

KANG K D , BAEK Y , LEE S , et al . Lightweight authentication method for controller area network [C ] // Proceedings of 2016 IEEE 22nd International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA) . Piscataway:IEEE Press , 2016 :101.

GENG R , WANG X J , LIU J . A software defined networking-oriented security scheme for vehicle networks [J ] . IEEE Access , 2018 ( 6 ): 58195 - 58203 .

CARSTEN P , ANDEL T R , YAMPOLSKIY M , et al . In-vehicle networks:attacks,vulnerabilities,and proposed solutions [C ] // Proceedings of the 10th Annual Cyber and Information Security Research Conference . New York:ACM Press , 2015 : 1 - 8 .

于赫 . 网联汽车信息安全问题及 CAN 总线异常检测技术研究 [D ] . 长春:吉林大学 , 2016 .

YU H . Research on connected vehicle cyber security and anomaly detection technology for In-vehicle CAN bus [D ] . Changchun:Jilin University , 2016 .

BEZEMSKIJ A , LOUKAS G , ANTHONY R J , et al . Behaviour-based anomaly detection of cyber-physical attacks on a robotic vehicle [C ] // Proceedings of 2016 15th International Conference on Ubiquitous Computing and Communications and 2016 International Symposium on Cyberspace and Security (IUCC-CSS) . Piscataway:IEEE Press , 2017 : 61 - 68 .

LEVI M , ALLOUCHE Y , KONTOROVICH A . Advanced analytics for connected car cybersecurity [C ] // Proceedings of 2018 IEEE 87th Vehicular Technology Conference (VTC Spring) . Piscataway:IEEE Press , 2018 : 1 - 7 .

OLUFOWOBI H , BLOOM G , YOUNG C , et al . Work-in-progress:real-time modeling for intrusion detection in automotive controller area network [C ] // Proceedings of 2018 IEEE Real-Time Systems Symposium (RTSS) . Piscataway:IEEE Press , 2019 : 161 - 164 .

STUDNIA I , ALATA E , NICOMETTE V , et al . A language-based intrusion detection approach for automotive embedded networks [J ] . International Journal of Embedded Systems , 2018 , 10 ( 1 ): 1 - 12 .

董振江 , 古永承 , 梁健 , 等 . C-V2X 车联网关键技术与方案概述 [J ] . 电信科学 , 2020 , 36 ( 4 ): 3 - 14 .

DONG Z J , GU Y C , LIANG J , et al . Overview on key technology and solution of C-V2X for Internet of vehicles [J ] . Telecommunications Science , 2020 , 36 ( 4 ): 3 - 14 .

俞建业 , 戚湧 , 王宝茁 . 基于 Spark 的车联网分布式组合深度学习入侵检测方法 [J ] . 计算机科学 , 2021 , 48 ( S1 ): 518 - 523 .

YU J Y , QI Y , WANG B Z . Distributed combination deep learning intrusion detection method for Internet of vehicles based on spark [J ] . Computer Science , 2021 , 48 ( S1 ): 518 - 523 .

吴茂强 , 黄旭民 , 康嘉文 , 等 . 面向车路协同推断的差分隐私保护研究 [J ] . 计算机工程 , 2022 , 48 ( 7 ): 29 - 35 .

WU M Q , HUANG X M , KANG J W , et al . Research on differential privacy protection for collaborative vehicle-road inference [J ] . Computer Engineering , 2022 , 48 ( 7 ): 29 - 35 .

李明磊 , 章阳 , 康嘉文 , 等 . 基于多智能体强化学习的区块链赋能车联网中的安全数据共享 [J ] . 广东工业大学学报 , 2021 , 38 ( 6 ): 62 - 69 .

LI M L , ZHANG Y , KANG J W , et al . Multi-agent reinforcement learning for secure data sharing in blockchain-empowered vehicular networks [J ] . Journal of Guangdong University of Technology , 2021 , 38 ( 6 ): 62 - 69 .

ZHANG D J , YANG R Z , et al . A deep reinforcement learning-based trust management scheme for software-defined vehicular networks [C ] // Proceedings of the 8th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications . New York:ACM , 2018 : 1 - 7 .

YOON S , CHO J H , KIM D S , et al . DESOLATER:deep reinforcement learning-based resource allocation and moving target defense deployment framework [J ] . IEEE Access , 2021 ( 9 ): 70700 - 70714 .

WANG S B , YAO N M . LIAP:a local identity-based anonymous message authentication protocol in VANETs [J ] . Computer Communications , 2017 , 112 : 154 - 164 .

WASEF A , LU R X , LIN X D , et al . Complementing public key infrastructure to secure vehicular ad hoc networks[security and privacy in emerging wireless networks] [J ] . IEEE Wireless Communications , 2010 , 17 ( 5 ): 22 - 28 .

ZHANG L , HU C Y , WU Q H , et al . Privacy-preserving vehicular communication authentication with hierarchical aggregation and fast response [J ] . IEEE Transactions on Computers , 2016 , 65 ( 8 ): 2562 - 2574 .

ZHANG L , WU Q H , DOMINGO-FERRER J , , et al . Distributed aggregate privacy-preserving authentication in VANETs [J ] . IEEE Transactions on Intelligent Transportation Systems , 2017 , 18 ( 3 ): 516 - 526 .

XU C , HUANG X H , MA M D , et al . A secure and efficient message authentication scheme for vehicular networks based on LTE-V [J ] . KSII Transactions on Internet and Information Systems , 2018 , 12 ( 6 ): 2841 - 2860 .

李晓伟 , 杨邓奇 , 曾新 , 等 . 车联网环境下跨域间认证与密钥协商协议 [J ] . 西安电子科技大学学报 , 2021 , 48 ( 1 ): 141 - 148 .

LI X W , YANG D Q , ZENG X , et al . Cross-domain authentication and the key agreement protocol in VANETs [J ] . Journal of Xidian University , 2021 , 48 ( 1 ): 141 - 148 .

JIANG W B , LI H W , XU G W , et al . PTAS:privacy-preserving thin-client authentication scheme in blockchain-based PKI [J ] . Future Generation Computer Systems , 2019 , 96 : 185 - 195 .

GABAY D , AKKAYA K , CEBE M . Privacy-preserving authentication scheme for connected electric vehicles using blockchain and zero knowledge proofs [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 6 ): 5760 - 5772 .

SUN J Y , ZHANG C , ZHANG Y C , et al . An identity-based security system for user privacy in vehicular ad hoc networks [J ] . IEEE Transactions on Parallel and Distributed Systems , 2010 , 21 ( 9 ): 1227 - 1239 .

XU C , LIU H Z , PAN Z H , et al . A group authentication and privacy-preserving level for vehicular networks based on fuzzy system [J ] . Journal of Intelligent ＆ Fuzzy Systems:Applications in Engineering and Technology , 2020 , 39 ( 2 ): 1547 - 1562 .

PARK Y , SUR C , RHEE K H . Pseudonymous authentication for secure V2I services in cloud-based vehicular networks [J ] . Journal of Ambient Intelligence and Humanized Computing , 2016 , 7 ( 5 ): 661 - 671 .

ZHOU L , YU L , DU S G , et al . Achieving differentially private location privacy in edge-assistant connected vehicles [J ] . IEEE Internet of Things Journal , 2019 , 6 ( 3 ): 4472 - 4481 .

BAZA M , SHERIF A , MAHMOUD M M E A , et al . Privacy-preserving blockchain-based energy trading schemes for electric vehicles [J ] . IEEE Transactions on Vehicular Technology , 2021 , 70 ( 9 ): 9369 - 9384 .

CHEN J G , LI K L , YU P S . Privacy-preserving deep learning model for decentralized VANETs using fully homomorphic encryption and blockchain [J ] . IEEE Transactions on Intelligent Transportation Systems , 2022 , 23 ( 8 ): 11633 - 11642 .

YANG Y H , WEI L J , WU J , et al . A blockchain-based multidomain authentication scheme for conditional privacy preserving in vehicular ad-hoc network [J ] . IEEE Internet of Things Journal , 2022 , 9 ( 11 ): 8078 - 8090 .

WANG Q P , GAO D Y , ZHU W T . Cloud-enabled software-defined vehicular networks:architecture,applications and challenges [J ] . Journal of Internet Technology , 2019 , 20 ( 6 ): 1819 - 1828 .

牛雅丽 , 屈光洪 . 基于PaaS的车联网云平台开发探究 [J ] . 汽车实用技术 , 2020 ( 9 ): 47 - 48 , 76 .

NIU Y L , QU G H . Research on development of vehicle networking cloud platform based on PaaS cloud platform [J ] . Automobile Applied Technology , 2020 ( 9 ): 47 - 48 , 76 .

ARAIN Q A , DENG Z L , MEMON I , et al . Map services based on multiple mix-zones with location privacy protection over road network [J ] . Wireless Personal Communications , 2017 , 97 ( 2 ): 2617 - 2632 .

王瑞锦 , 唐榆程 , 张巍琦 , 等 . 基于同态加密和区块链技术的车联网隐私保护方案 [J ] . 网络与信息安全学报 , 2020 , 6 ( 1 ): 46 - 53 .

WANG R J , TANG Y C , ZHANG W Q , et al . Privacy protection scheme for Internet of vehicles based on homomorphic encryption and block chain technology [J ] . Chinese Journal of Network and Information Security , 2020 , 6 ( 1 ): 46 - 53 .

彭长根 , 何兴 , 谭伟杰 , 等 . 人工智能算法安全研究现状与对策 [J ] . 贵州师范大学学报(自然科学版) , 2022 , 40 ( 6 ): 1 - 16 , 134 .

PENG C G , HE X , TAN W J , et al . Research status and countermeasures of artificial intelligence algorithm security [J ] . Journal of Guizhou Normal University (Natural Sciences) , 2022 , 40 ( 6 ): 1 - 16 , 134 .

ZHU C , CHENG Y , GAN Z , et al . FreeLB:enhanced adversarial training for natural language understanding [J ] . arXiv preprint , 2019 ,arXiv:1909.11764.

VILONE G , LONGO L . Explainable artificial intelligence:a systematic review [J ] . arXiv preprint , 2020 ,arXiv:2006.00093.

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