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Research on Multi Domain Based Access Control in Intelligent Connected Vehicle

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Security and Privacy in New Computing Environments (SPNCE 2019)

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Abstract

With the development of Intelligent Connected Vehicle (ICV), the information security problems it faces are becoming more and more important. Authentication and access control is an important part of ensuring the security of intelligent connected vehicles’ information. In this paper, we have proposed a multi-domain based access control model (MDBA) based on the attribute-based access control model. The model proposes access control from the aspects of intelligent connected vehicles’ multi-domain, thus ensuring the information security of intelligent connected vehicles.

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Acknowledgement

This work is supported by the subject (2017YFB0102502) of the National Key Research and Development Program of China.

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Authors and Affiliations

  1. Software Engineering School, Beijing University of Posts and Telecommunications, No.10 Xitucheng Road, Haidian District, Beijing, China

    Kaiyu Wang, Nan Liu, Jiapeng Xiu & Zhengqiu Yang

Authors
  1. Kaiyu Wang
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  2. Nan Liu
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  3. Jiapeng Xiu
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  4. Zhengqiu Yang
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Corresponding author

Correspondence to Kaiyu Wang .

Editor information

Editors and Affiliations

  1. Guangzhou University, Guangdong, Guangdong, China

    Jin Li

  2. College of Cyberspace Security, Nankai University, Tianjin, Tianjin, China

    Zheli Liu

  3. College of Mathematics and Computer Science, Zhejiang Normal University, Zhejiang, Zhejiang, China

    Hao Peng

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wang, K., Liu, N., Xiu, J., Yang, Z. (2019). Research on Multi Domain Based Access Control in Intelligent Connected Vehicle. In: Li, J., Liu, Z., Peng, H. (eds) Security and Privacy in New Computing Environments. SPNCE 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 284. Springer, Cham. https://doi.org/10.1007/978-3-030-21373-2_31

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  • DOI: https://doi.org/10.1007/978-3-030-21373-2_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21372-5

  • Online ISBN: 978-3-030-21373-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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