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Artificial Intelligence and Game Theory Based Security Strategies and Application Cases for Internet of Vehicles

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Communications, Signal Processing, and Systems (CSPS 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 571))

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Abstract

Information security of Internet of Vehicles (IoV) has attracted much attention in recent years. In view of security vulnerabilities existed in automobiles, many countries launch guidelines and cybersecurity standards concerning IoV security and plenty of new techniques have been applied to combat threats. In this paper, a variety of attacks on IoV are summarized and classified, then artificial intelligence and game theory based security countermeasures for IoV are highlighted, and their protection mechanisms are illustrated. Finally, a few application cases of artificial intelligence and game theory based security strategies for IoV is analyzed, aiming to provide helpful reference for the development of IoV security techniques.

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Acknowledgements

This work is supported by the National Key Research and Development Program of China (Grant No.: 2018YFB0803605), the National Natural Science Foundation of China (Grant No.: 61897069), and the Foundation Strengthening Program for Key Basic Research of China (Grant No.: 2017-JCJQ-ZD-043). Guoai Xu, Chengze Li and Zhimin Wu are the corresponding authors.

Author information

Authors and Affiliations

  1. School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China

    Zhiyong Wang, Miao Zhang & Guoai Xu

  2. National Computer Network Emergency Response Technical Team/Coordination Center of China (CNCERT), Beijing, China

    Chengze Li & Zhimin Wu

  3. University College London, London, UK

    He Xu

Authors
  1. Zhiyong Wang
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  2. Miao Zhang
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  3. He Xu
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  4. Guoai Xu
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  5. Chengze Li
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  6. Zhimin Wu
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Corresponding authors

Correspondence to Guoai Xu , Chengze Li or Zhimin Wu .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  3. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China

    Xin Liu

  4. School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China

    Zhenyu Na

  5. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

    Min Jia

  6. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Wang, Z., Zhang, M., Xu, H., Xu, G., Li, C., Wu, Z. (2020). Artificial Intelligence and Game Theory Based Security Strategies and Application Cases for Internet of Vehicles. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_38

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  • DOI: https://doi.org/10.1007/978-981-13-9409-6_38

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9408-9

  • Online ISBN: 978-981-13-9409-6

  • eBook Packages: EngineeringEngineering (R0)

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