A Multi-Blockchain Based Anonymous Cross-Domain Authentication Scheme for Industrial Internet of Things

With the widespread adoption of the Industrial Internet of Things (IIoT) and the growing complexity of industrial production processes, data interactions between IIoT domains have become increasingly frequent. Ensuring security and privacy in cross-domain authentication has thus become a critical challenge. Traditional authentication schemes face several limitations, including high computation overhead, potential privacy leakage, and vulnerability to single point of failure, making it difficult to meet the cross-domain authentication needs. To address these challenges, we propose a distributed cross-domain authentication scheme in this paper. Specifically, we first design a novel IIoT cross-domain authentication architecture based on multi-blockchain. Unlike traditional single-blockchain based architecture, this approach enables fine-grained access control for on-chain device information and provides better performance and scalability. Building on this architecture, we propose an anonymous authentication scheme utilizing Certificate-Less Public Key Cryptography (CL-PKC), ensuring identity privacy for industrial devices while maintaining low authentication resource overhead. Additionally, we adopt the Merkle hash tree to construct a novel pseudonym management mechanism, which supports efficient batch pseudonym request, verification, and revocation. Finally, we demonstrate the scheme’s advantages in security and efficiency through comprehensive security analysis and performance evaluation.

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Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/trustcom63139.2024.00160
Citations
3
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
1.05

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article

A Multi-Blockchain Based Anonymous Cross-Domain Authentication Scheme for Industrial Internet of Things

Chengqi Hou, Beibei Li, Shao‐Long Chen, Wei Yang et al.
3 citations
Network Security and Intrusion Detection
1.05
article

A Multi-Blockchain Based Anonymous Cross-Domain Authentication Scheme for Industrial Internet of Things

Chengqi Hou, Beibei Li, Shao‐Long Chen, Wei Yang, Zhiming Zhang, Yu Wang
article en
3 citations

Abstract

With the widespread adoption of the Industrial Internet of Things (IIoT) and the growing complexity of industrial production processes, data interactions between IIoT domains have become increasingly frequent. Ensuring security and privacy in cross-domain authentication has thus become a critical challenge. Traditional authentication schemes face several limitations, including high computation overhead, potential privacy leakage, and vulnerability to single point of failure, making it difficult to meet the cross-domain authentication needs. To address these challenges, we propose a distributed cross-domain authentication scheme in this paper. Specifically, we first design a novel IIoT cross-domain authentication architecture based on multi-blockchain. Unlike traditional single-blockchain based architecture, this approach enables fine-grained access control for on-chain device information and provides better performance and scalability. Building on this architecture, we propose an anonymous authentication scheme utilizing Certificate-Less Public Key Cryptography (CL-PKC), ensuring identity privacy for industrial devices while maintaining low authentication resource overhead. Additionally, we adopt the Merkle hash tree to construct a novel pseudonym management mechanism, which supports efficient batch pseudonym request, verification, and revocation. Finally, we demonstrate the scheme’s advantages in security and efficiency through comprehensive security analysis and performance evaluation.

Chinese Academy of Sciences (CN), Sichuan University (CN), Institute of Information Engineering (CN), Jiangxi Normal University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangxi Province
Openalex Percentile: Top 20%
Network Security and Intrusion Detection
1.05
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