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Blockchain Based Trust Management in Vehicular Networks

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Blockchain and Trustworthy Systems (BlockSys 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1267))

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Abstract

The development of Vehicular Networks (VANETs) is facing great challenges. In the open environment of VANETs, the fake information sent by malicious vehicles not only affect the fairness of information interaction, but also threaten the driving safety of normal vehicles seriously. Therefore, the study of trust evaluation and management in VANETs has become hot topics in recent years. This paper proposes a trust management model of VANETs based on blockchain. In this model, a Hidden Markov Model (HMM) based vehicle trust evaluation method is proposed, which can improve the accuracy for the detection of malicious behavior. Besides, we propose a trust management method based on alliance chain, which can greatly improve the efficiency of trust updating and querying on the premise of security. The results of comparative experiments show that the model is feasible and effective in the aspects of trust evaluation and trust management.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China under Grant 61672338 and Grant 61873160.

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Authors and Affiliations

  1. College of Information Engineering, Shanghai Maritime University, Shanghai, China

    Han Liu, Dezhi Han & Dun Li

Authors
  1. Han Liu
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  2. Dezhi Han
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  3. Dun Li
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Corresponding author

Correspondence to Han Liu .

Editor information

Editors and Affiliations

  1. Sun Yat-sen University, Guangzhou, China

    Zibin Zheng

  2. Macau University of Science and Technology, Macau, China

    Hong-Ning Dai

  3. Kunming University of Science and Technology, Kunming, China

    Xiaodong Fu

  4. Dali University, Dali, China

    Benhui Chen

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Liu, H., Han, D., Li, D. (2020). Blockchain Based Trust Management in Vehicular Networks. In: Zheng, Z., Dai, HN., Fu, X., Chen, B. (eds) Blockchain and Trustworthy Systems. BlockSys 2020. Communications in Computer and Information Science, vol 1267. Springer, Singapore. https://doi.org/10.1007/978-981-15-9213-3_26

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  • DOI: https://doi.org/10.1007/978-981-15-9213-3_26

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-9212-6

  • Online ISBN: 978-981-15-9213-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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