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Revisiting Attacks and Defenses in Connected and Autonomous Vehicles

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Security, Privacy, and Anonymity in Computation, Communication, and Storage (SpaCCS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12382))

Abstract

With the development of the automotive industry, the security of connected and autonomous vehicles (CAVs) has become a hot research field in recent years. However, previous studies mainly focus on the threats and defending mechanisms from the networking perspective, while newly emerging attacks are targeting the core component – AI of CAVs. Therefore, the defense methods against these attacks are urgently needed. In this paper, we revisit emerging attacks and their technical countermeasures for CAVs in a layered inventory, including in-vehicle systems, V2X, and self-driving. We believe that this survey provides insights on defending adversary attacks on CAVs and will shed light on the future research in this area.

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Acknowledgement

We sincerely thank reviewers for their insightful feedback. This work was supported in part by NSFC Award #61972200.

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Authors and Affiliations

  1. College of Computer Sciences and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China

    Ziyan Fang, Weijun Zhang & Hao Han

  2. Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, 210093, China

    Ziyan Fang, Weijun Zhang & Hao Han

  3. State Key Laboratory for Novel Technology, Nanjing University, Nanjing, 210046, China

    Zongfei Li, Huaao Tang & Fengyuan Xu

Authors
  1. Ziyan Fang
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  2. Weijun Zhang
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  3. Zongfei Li
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  4. Huaao Tang
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  5. Hao Han
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  6. Fengyuan Xu
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Corresponding authors

Correspondence to Ziyan Fang or Hao Han .

Editor information

Editors and Affiliations

  1. Guangzhou University, Guangzhou, China

    Guojun Wang

  2. Aeronautics and Astronautics, Nanjing University, Nanjing, China

    Bing Chen

  3. Computer Science, Georgia State University, Atlanta, GA, USA

    Wei Li

  4. College of Science and Engineering, Qatar Foundation Education City, Doha, Qatar

    Roberto Di Pietro

  5. Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Xuefeng Yan

  6. Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Hao Han

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Fang, Z., Zhang, W., Li, Z., Tang, H., Han, H., Xu, F. (2021). Revisiting Attacks and Defenses in Connected and Autonomous Vehicles. In: Wang, G., Chen, B., Li, W., Di Pietro, R., Yan, X., Han, H. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2020. Lecture Notes in Computer Science(), vol 12382. Springer, Cham. https://doi.org/10.1007/978-3-030-68851-6_7

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  • DOI: https://doi.org/10.1007/978-3-030-68851-6_7

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  • Online ISBN: 978-3-030-68851-6

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