A trusted IoT data sharing method based on secure multi-party computation

Edge computing nodes close to the perception layer of IoT systems are susceptible to data leaks and unauthorized access. To address these security concerns, this paper proposes a trusted IoT data sharing method based on secure multi-party computation (SMC). By running a reliable third-party blockchain service at edge computing nodes, the data computation relationships between IoT devices in the perception layer are registered in blockchain smart contracts. This constructs a publicly verifiable IoT data sharing method combining on-chain audit verification and off-chain SMC. Furthermore, a Bloom filter is maintained at the on-chain smart contract layer to track the trust status of IoT devices in the perception layer, filtering out non-trustworthy device requests and enabling secure data sharing among trusted devices. Comparative analysis and performance tests demonstrate the proposed method’s high computational efficiency for IoT device nodes.

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Publication Details

Journal
Journal of Cloud Computing Advances Systems and Applications
Published
2024-09-13
DOI
https://doi.org/10.1186/s13677-024-00704-x
Citations
6
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
4.67

Funders

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article

A trusted IoT data sharing method based on secure multi-party computation

Yingxun Fu, Bo Zhang, Yang Li, Li Ma et al.
6 citations
Journal of Cloud Computing Advances Systems and Applications
Blockchain Technology Applications and Security
4.67
article

A trusted IoT data sharing method based on secure multi-party computation

Yingxun Fu, Bo Zhang, Yang Li, Li Ma, Dongchao Ma, Binbin Duan
article en
6 citations

Abstract

Edge computing nodes close to the perception layer of IoT systems are susceptible to data leaks and unauthorized access. To address these security concerns, this paper proposes a trusted IoT data sharing method based on secure multi-party computation (SMC). By running a reliable third-party blockchain service at edge computing nodes, the data computation relationships between IoT devices in the perception layer are registered in blockchain smart contracts. This constructs a publicly verifiable IoT data sharing method combining on-chain audit verification and off-chain SMC. Furthermore, a Bloom filter is maintained at the on-chain smart contract layer to track the trust status of IoT devices in the perception layer, filtering out non-trustworthy device requests and enabling secure data sharing among trusted devices. Comparative analysis and performance tests demonstrate the proposed method’s high computational efficiency for IoT device nodes.

Journal of Cloud Computing Advances Systems and ApplicationsVol. 13(1)
North China University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 5%
Blockchain Technology Applications and Security
4.67
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