Cybersecurity protection on in-vehicle networks for distributed automotive cyber-physical systems: State-of-the-art and future challenges

被引:28
作者
Xie, Yong [1 ]
Zhou, Yu [2 ]
Xu, Jing [2 ]
Zhou, Jian [1 ]
Chen, Xiaobai [1 ]
Xiao, Fu [1 ]
机构
[1] Nanjing Univ Posts & Telecommun, Sch Comp Sci, Xianlin, Peoples R China
[2] Xiamen Univ Technol, Dept Comp & Informat Engn, Xiamen, Peoples R China
基金
中国国家自然科学基金;
关键词
controller area network; cybersecurity protection; distributed automotive cyber‐ physical systems; in‐ vehicle networks; system design and optimization; INTRUSION DETECTION; SECURITY; IDENTIFICATION; FD;
D O I
10.1002/spe.2965
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The ever-evolving trip mode of human being leads the automobiles moving toward connected, autonomous, sharing, and electrified vehicles rapidly. But the connection introduces new cybersecurity problems on in-vehicle networks, which poses great challenges for safety guarantee of distributed automotive cyber-physical systems. This article first analyzes the cybersecurity vulnerabilities and defines the security requirements for in-vehicle networks, and then introduces the architecture evolution of in-vehicle network. Based on the definition on architecture of in-vehicle networks, this article defines a security protection framework for it. And then, it surveys the state-of-the-art works for availability protection, integrity protection, and confidentiality protection of in-vehicle networks, respectively, and detailed analysis and comparisons are given about the proposed cybersecurity protection mechanisms. Finally, it summarizes the future challenges for cybersecurity protection of in-vehicle networks, and proposes possible solutions for these challenges.
引用
收藏
页码:2108 / 2127
页数:20
相关论文
共 90 条
[1]   Optimization of Message Encryption for Real-Time Applications in Embedded Systems [J].
Aminifar, Amir ;
Eles, Petru ;
Peng, Zebo .
IEEE TRANSACTIONS ON COMPUTERS, 2018, 67 (05) :748-754
[2]  
[Anonymous], 2016, RECALLFIAT CHRYSLER
[3]  
[Anonymous], 2016, SAE STANDARD J3061 C
[4]  
[Anonymous], 2019, ESCYPRT MULTI LAYERE
[5]  
[Anonymous], 2020, Road VehiclesCybersecurity Engineering
[6]  
[Anonymous], 2019, AUTOSAR SPECIFICATIO
[7]  
[Anonymous], 2016, Cybersecurity best practices for modern vehicles
[8]   An Intelligent Secured Framework for Cyberattack Detection in Electric Vehicles' CAN Bus Using Machine Learning [J].
Avatefipour, Omid ;
Al-Sumaiti, Ameena Saad ;
El-Sherbeeny, Ahmed M. ;
Awwad, Emad Mahrous ;
Elmeligy, Mohammed A. ;
Mohamed, Mohamed A. ;
Malik, Hafiz .
IEEE ACCESS, 2019, 7 :127580-127592
[9]   Detecting cyber-physical threats in an autonomous robotic vehicle using Bayesian Networks [J].
Bezemskij, Anatolij ;
Loukas, George ;
Gan, Diane ;
Anthony, Richard J. .
2017 IEEE INTERNATIONAL CONFERENCE ON INTERNET OF THINGS (ITHINGS) AND IEEE GREEN COMPUTING AND COMMUNICATIONS (GREENCOM) AND IEEE CYBER, PHYSICAL AND SOCIAL COMPUTING (CPSCOM) AND IEEE SMART DATA (SMARTDATA), 2017, :98-103
[10]  
Braham R., 2019, P INT C SOFTW TEL CO