Cyber resilience of autonomous mobility systems: cyber-attacks and resilience-enhancing strategies

被引:12
|
作者
Zou, Bo [1 ]
Choobchian, Pooria [1 ]
Rozenberg, Julie [2 ]
机构
[1] Univ Illinois, Chicago, IL 60607 USA
[2] World Bank Grp, Washington, DC USA
关键词
Autonomous mobility systems; Cyber resilience; Cyber-attacks; Vehicle; and system-level strategies; VEHICLES; RISK;
D O I
10.1007/s12198-021-00230-w
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
The increasing cyber connectivity of vehicles and between vehicles and infrastructure will drastically reshape mobility in the coming decades. While the advent of connected mobility is expected to benefit travelers and the society by smoothing traffic, improving rider convenience, and reducing accidents, the augmented cyber components in connected and autonomous vehicles and related infrastructure also give rise to cyber-attacks to the transportation system. And yet, little attention has been paid to transportation cyber resilience. This paper thus proposes an investigation on this topic with a comprehensive literature review. The cyber components and plausible autonomous mobility systems (AMS) operation scenarios are discussed, before identifying possible cyber-attacks to AMS at both vehicle and system levels. The discussion then moves to existing practices to enhance cybersecurity, and a number of strategies are investigated toward enhancing AMS cyber resilience. At the vehicle level, creating layers and separation to reduce cyber component connectivity and deploying an independent procedure for data collection and processing are important in vehicle design and manufacturing. At the system level, recommended strategies include keeping redundancy in transportation capacity, maintaining a separate road network, and deploying different sub-autonomous mobility systems.
引用
收藏
页码:137 / 155
页数:19
相关论文
共 50 条
  • [21] Detection of Cyber-attacks to indoor real time localization systems for autonomous robots
    Manuel Guerrero-Higueras, Angel
    DeCastro-Garcia, Noemi
    Matellan, Vicente
    ROBOTICS AND AUTONOMOUS SYSTEMS, 2018, 99 : 75 - 83
  • [22] Enhancing Cyber Resilience of Autonomous Vehicles Against Sensor and Actuator Attacks using Cascaded Secure State Estimations
    Hilmi, Muhammad
    Bin Bashar, Labid
    Widyotriatmo, Augie
    Hasan, Agus
    2024 14TH ASIAN CONTROL CONFERENCE, ASCC 2024, 2024, : 1180 - 1187
  • [23] Modeling cyber-attacks on Industrial Control Systems
    Paliath, Vivin
    Shakarian, Paulo
    IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SECURITY INFORMATICS: CYBERSECURITY AND BIG DATA, 2016, : 316 - 318
  • [24] Cyber-attacks on health-care systems
    Devi, Sharmila
    LANCET ONCOLOGY, 2023, 24 (04): : 148 - 148
  • [25] Wide-Area Damping Control Resilience Towards Cyber-Attacks: A Dynamic Loop Approach
    Patel, Abhilash
    Roy, Spandan
    Baldi, Simone
    IEEE TRANSACTIONS ON SMART GRID, 2021, 12 (04) : 3438 - 3447
  • [26] Ensuring Resilience Against Stealthy Attacks on Cyber-Physical Systems
    Griffioen, Paul
    Krogh, Bruce H.
    Sinopoli, Bruno
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2024, 69 (12) : 8234 - 8246
  • [27] Resilience Evaluation of Cyber-Physical Power System Considering Cyber Attacks
    Kong, Xiangxing
    Lu, Zhigang
    Guo, Xiaoqiang
    Zhang, Jiangfeng
    Li, Huifeng
    IEEE TRANSACTIONS ON RELIABILITY, 2024, 73 (01) : 245 - 256
  • [28] Hybrid DeepGCL model for cyber-attacks detection on cyber-physical systems
    Rasim Alguliyev
    Yadigar Imamverdiyev
    Lyudmila Sukhostat
    Neural Computing and Applications, 2021, 33 : 10211 - 10226
  • [29] On the Security of Cyber-Physical Systems Against Stochastic Cyber-Attacks Models
    Abu Al-Haija, Qasem
    2021 IEEE INTERNATIONAL IOT, ELECTRONICS AND MECHATRONICS CONFERENCE (IEMTRONICS), 2021, : 155 - 160
  • [30] Hybrid DeepGCL model for cyber-attacks detection on cyber-physical systems
    Alguliyev, Rasim
    Imamverdiyev, Yadigar
    Sukhostat, Lyudmila
    NEURAL COMPUTING & APPLICATIONS, 2021, 33 (16): : 10211 - 10226