BLDTS: Blockchain-based Lightweight Data Trusted Sharing Scheme for Internet of Vehicles

Ensuring safe and reliable data sharing is crucial for the development of Internet of Vehicles (IoV) technology. To provide a trusted data environment for IoV and enable traditional consensus algorithms to meet the high dynamic requirements of the IoV. In this article, we propose a blockchain-based data sharing scheme for IoV (BLDTS) to achieve secure and trusted sharing. First, we design a false information identification strategy that utilizes a bayesian inference model to determine the authenticity of shared data with the assistance of reputation value. Second, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to construct a novel lightweight consensus mechanism based on vehicle reputation values and traffic environment factors, and the nodes with high scores were selected as participants in the consensus, which can reduce the computational overhead. Finally, experimental results show that our scheme has advantages in improving the accuracy of false message identification and consensus efficiency.

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Publication Details

Published
2025-05-05
DOI
https://doi.org/10.1109/cscwd64889.2025.11033493
Primary Topic
Blockchain Technology Applications and Security
Type
article
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article

BLDTS: Blockchain-based Lightweight Data Trusted Sharing Scheme for Internet of Vehicles

Anming Dong, Haoran Lin, Xiang Tian, Zhongyuan Yu et al.
Blockchain Technology Applications and Security
article

BLDTS: Blockchain-based Lightweight Data Trusted Sharing Scheme for Internet of Vehicles

Anming Dong, Haoran Lin, Xiang Tian, Zhongyuan Yu, Guijuan Wang
article en

Abstract

Ensuring safe and reliable data sharing is crucial for the development of Internet of Vehicles (IoV) technology. To provide a trusted data environment for IoV and enable traditional consensus algorithms to meet the high dynamic requirements of the IoV. In this article, we propose a blockchain-based data sharing scheme for IoV (BLDTS) to achieve secure and trusted sharing. First, we design a false information identification strategy that utilizes a bayesian inference model to determine the authenticity of shared data with the assistance of reputation value. Second, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to construct a novel lightweight consensus mechanism based on vehicle reputation values and traffic environment factors, and the nodes with high scores were selected as participants in the consensus, which can reduce the computational overhead. Finally, experimental results show that our scheme has advantages in improving the accuracy of false message identification and consensus efficiency.

Qilu University of Technology (CN), Qufu Normal University (CN), Shandong Academy of Sciences (CN), Lanzhou University (CN)
Openalex Percentile: Top 79%
Blockchain Technology Applications and Security
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