JOURNAL ARTICLE

Blockchain-Assisted Cross-Domain Data Sharing in Industrial IoT

Shulei ZengBin CaoYao SunChen SunZhiguo WanMugen Peng

Year: 2023 Journal:   IEEE Internet of Things Journal Vol: 11 (16)Pages: 26778-26792   Publisher: Institute of Electrical and Electronics Engineers

Abstract

In the context of the burgeoning Industrial Internet of Things (IIoT), the proliferation of interconnected devices has created a reservoir of data resources distributed across diverse domains. However, due to the conflict between proprietary data and the use of data, it is a challenge to fully obtain data value in an efficient and legal way. To release the data value in an efficient and legal way, blockchain is considered a promising technology for data security and privacy, which has been widely introduced to cross-domain data governance. In this paper, we propose a blockchain-assisted cross-domain data sharing (BCDS) in IIoT. Specifically, by deploying the permissioned blockchain, we design a zero-knowledge proof scheme to verify data ownership under the criterion of confidence and anonymity. Besides, to prevent the thrid-party from decrypting data, we design a key agreement protocol to ensure that only recipient is authorized to decrypt data based on private key. Furthermore, we theoretically analyze the security performance of schemes. Extensive experiments in simulation computer systems and testbed deployment are conducted to demonstrate the effectiveness and efficiency of the proposed scheme.

Keywords:
Computer science Data sharing Computer security Testbed Key (lock) Anonymity Blockchain Context (archaeology) Encryption Computer network

Metrics

12
Cited By
7.42
FWCI (Field Weighted Citation Impact)
41
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems
Privacy-Preserving Technologies in Data
Physical Sciences →  Computer Science →  Artificial Intelligence
Cryptography and Data Security
Physical Sciences →  Computer Science →  Artificial Intelligence

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