LOCALIZATION AND NAVIGATION IN AUTONOMOUS DRIVING: ThREATS AND COUNTERMEASURES

被引:76
|
作者
Luo, Qian [1 ]
Cao, Yurui [1 ]
Liu, Jiajia [2 ]
Benslimane, Abderrahim [3 ]
机构
[1] Xidian Univ, Sch Cyber Engn, Xian, Shaanxi, Peoples R China
[2] Northwestern Polytech Univ, Sch Cybersecur, Xian, Shaanxi, Peoples R China
[3] Univ Avignon, Comp Sci, Avignon, France
关键词
D O I
10.1109/MWC.2019.1800533
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
With the growing number of research studies on autonomous driving, a lot of new technologies for self-driving cars are also constantly emerging. While significantly promoting the development of autonomous vehicles, these emerging technologies also have potential vulnerabilities, which may bring up some nonnegligible security threats. Loopholes existing in localization and navigation technologies, which are the key elements of route planning and navigation, could be utilized by adversaries to manipulate autonomous driving navigation by hijacking valuable vehicles, goods, or even target characters. Toward this end, we provide in this article a basic guide summarizing the security threats and attack schemes, and we propose countermeasures specifically for localization and navigation technologies in autonomous vehicles. After that, we present a novel route spoofing attack that could also be implemented against future autonomous driving navigation. With such implementation, we demonstrate that effectively, routes of targeted drivers can be usurped and hence mislead drivers to take a wrong route, go by a malicious place, and even be tracked in real time.
引用
收藏
页码:38 / 45
页数:8
相关论文
共 50 条
  • [1] Attack Detection and Countermeasures for Autonomous Navigation
    Arafin, Md Tanvir
    Kornegay, Kevin
    2021 55TH ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS (CISS), 2021,
  • [2] Advanced Persistent Threats in Autonomous Driving
    Kant K.
    Performance Evaluation Review, 2020, 47 (04): : 25 - 28
  • [3] Road Traffic Poisoning of Navigation Apps: Threats and Countermeasures
    Raponi, Simone
    Sciancalepore, Savio
    Oligeri, Gabriele
    Di Pietro, Roberto
    IEEE SECURITY & PRIVACY, 2022, 20 (03) : 71 - 79
  • [4] The Security of Autonomous Driving: Threats, Defenses, and Future Directions
    Ren, Kui
    Wang, Qian
    Wang, Cong
    Qin, Zhan
    Lin, Xiaodong
    PROCEEDINGS OF THE IEEE, 2020, 108 (02) : 357 - 372
  • [5] Benchmarking Visual Localization for Autonomous Navigation
    Suomela, Lauri
    Kalliola, Jussi
    Dag, Atakan
    Edelman, Harry
    Kamarainen, Joni-Kristian
    2023 IEEE/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2023, : 2944 - 2954
  • [6] Visual curb localization for autonomous navigation
    Turchetto, R
    Manduchi, R
    IROS 2003: PROCEEDINGS OF THE 2003 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4, 2003, : 1336 - 1342
  • [7] THREATS AND COUNTERMEASURES
    ADAM, JA
    IEEE SPECTRUM, 1992, 29 (08) : 21 - 28
  • [8] Study on the Inertial Navigation System for Autonomous Driving
    Liu, Bufan
    He, Shanglu
    Xing, Zongyi
    Kang, Ning
    CICTP 2020: ADVANCED TRANSPORTATION TECHNOLOGIES AND DEVELOPMENT-ENHANCING CONNECTIONS, 2020, : 710 - 721
  • [9] CHALLENGES OF LOCALIZATION ALGORITHMS FOR AUTONOMOUS DRIVING
    Medve, Hunor
    Fodor, Denes
    HUNGARIAN JOURNAL OF INDUSTRY AND CHEMISTRY, 2020, 48 (01): : 43 - 49
  • [10] Localization for Autonomous Driving on Urban Road
    Yamamoto, Daiki
    Suganuma, Naoki
    2015 INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATICS AND BIOMEDICAL SCIENCES (ICIIBMS), 2015, : 452 - 453