How to protect smart and autonomous vehicles from stealth viruses and worms

被引:1
|
作者
Chen, Ming [1 ]
Yan, Minrui [2 ]
机构
[1] China FAW Grp Co Ltd, Changchun, Peoples R China
[2] Swinburne Univ Technol, Melbourne, Australia
关键词
Intelligent transportation systems; Autonomous vehicle; CAN bus; Stealth attack; Cyber security; COVERT ATTACKS; SECURITY; SYSTEMS; VULNERABILITY; NETWORKS;
D O I
10.1016/j.isatra.2023.04.019
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Smart and autonomous vehicles are inseparable parts of the future Intelligent Transportation Systems (ITS). However, ITS components, and especially its vehicles, are prone to cyber threats. Interconnectivity of different parts, ranging from in-vehicle communication of different modules to vehicle and vehicle to infrastructure message exchanges open a window to the cyber attacks launched through these communication media. This paper introduces the concept of stealth virus or worm in smart and autonomous vehicles which can jeopardize the safety of passengers. Stealth attacks are designed to manipulate a system in a way that while the changes are not detectable by human, the system is negatively influenced over the time. A framework for Intrusion Detection System (IDS) is proposed afterward. The proposed IDS structure is scalable and easily deployable on current and future vehicles which are equipped with Controller Area Network (CAN) buses. Through a case study on car cruise control, a new stealth attack is presented. The attack is analytically discussed first. Then, it is shown how the proposed IDS can detect this kind of threats. (c) 2023 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:52 / 58
页数:7
相关论文
共 50 条
  • [1] Smart Cities Benefit from Infrastructure for Autonomous Vehicles
    Coumans, Frederique
    GIM INTERNATIONAL-THE WORLDWIDE MAGAZINE FOR GEOMATICS, 2021, 35 (06): : 25 - 27
  • [2] New insights into how parental worms protect their offspring
    Zeng, Chenming
    Miska, Eric A.
    CELL RESEARCH, 2025,
  • [3] How Well Can Driverless Vehicles Hear? A Gentle Introduction to Auditory Perception for Autonomous and Smart Vehicles
    Marchegiani, Letizia
    Fafoutis, Xenofon
    IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2022, 14 (03) : 92 - 105
  • [4] Autonomous Vehicles: from Whether and When to Where and How
    Floridi L.
    Philosophy & Technology, 2019, 32 (4) : 569 - 573
  • [5] Autonomous Vehicles' Forensics in Smart Cities
    Dawam, Edward Swarlat
    Feng, Xiaohua
    Li, Dayou
    2019 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI 2019), 2019, : 1688 - 1694
  • [6] How Viruses Protect From Type 1 Diabetes: Implications for Therapy
    Filippi, Christophe
    Estes, Elizabeth
    Oldham, Janine
    Larsson, Par
    von Herrath, Matthias
    CLINICAL IMMUNOLOGY, 2009, 131 : S170 - S170
  • [7] Enhancing Autonomous Vehicles with Commonsense Smart Mobility in Smart Cities
    Persaud, Priya
    Varde, Aparna S.
    Robila, Stefan A.
    2017 IEEE 29TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2017), 2017, : 1008 - 1012
  • [8] Autonomous Vehicles and Smart Mobility Related Technologies
    Olaverri-Monreal, Cristina
    INFOCOMMUNICATIONS JOURNAL, 2016, 8 (02): : 17 - 24
  • [9] Smart cities: Connectivity, sensors, and autonomous vehicles
    Harrop, Peter
    Electronic Products, 2022, 64 (01): : 5 - 6
  • [10] Advanced Visual Analyses for Smart and Autonomous Vehicles
    Fang, Zhijun
    Hwang, Jenq-Neng
    Huang, Shih-Chia
    ADVANCES IN MULTIMEDIA, 2018, 2018