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Context-Bound Cybersecurity Framework for Resisting Eavesdropping in Vehicle Networks

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Communications and Networking (ChinaCom 2020)

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Abstract

Wireless channels that are widely adopted between autonomous vehicles are vulnerable to eavesdropping or interferences, so that attacks on cybersecurity may lead to serious consequences, such as losing control of vehicles. In particular, the cryptographic methods used for information security rely on the strict privacy of keys, which is often difficult to guarantee in a wireless environment. This paper proposes a context-bound cybersecurity framework, which protects communication from eavesdroppers by encrypting critical data with a dynamic context among vehicles. The context is synchronized among vehicles through a progressive encoding method, which makes it difficult for third parties to learn the entire context by eavesdropping through the channels, especially in the case of mobility. The normal vehicles may extract a security key from the context to encrypt and decrypt key data, but it is impossible or overwhelmingly expensive for the third parties to decode the data transmitted due to the lack of the context. Besides, the proposed framework also provides a promising way to resist the upcoming quantum computers, because it will become more and more difficult for third parties to collect the complete context as the context continues to update.

Funded by the National Natural Science Foundation of China (61273235), and the Defence Advance Research Foundation of China (61400020109).

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Authors and Affiliations

  1. Department of Network Engineering, SICE, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Longjiang Li, Bingchuan Ma & Yuming Mao

  2. Chongqing University of Posts and Telecommunications, Chongqing, 400065, China

    Yonggang Li

Authors
  1. Longjiang Li
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  2. Bingchuan Ma
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  3. Yonggang Li
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  4. Yuming Mao
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Corresponding author

Correspondence to Longjiang Li .

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Editors and Affiliations

  1. Shanghai University, Shanghai, China

    Honghao Gao

  2. Tsinghua University, Beijing, China

    Pingyi Fan

  3. Fudan University, Shanghai, China

    Jun Wun

  4. Tongji University, Shanghai, China

    Xue Xiaoping

  5. Hangzhou Dianzi University, Hangzhou, China

    Jun Yu

  6. Huawei Technologies Co Ltd, Shanghai, China

    Yi Wang

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Li, L., Ma, B., Li, Y., Mao, Y. (2021). Context-Bound Cybersecurity Framework for Resisting Eavesdropping in Vehicle Networks. In: Gao, H., Fan, P., Wun, J., Xiaoping, X., Yu, J., Wang, Y. (eds) Communications and Networking. ChinaCom 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 352. Springer, Cham. https://doi.org/10.1007/978-3-030-67720-6_36

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  • DOI: https://doi.org/10.1007/978-3-030-67720-6_36

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