Efficient Revocable Cross-Domain Anonymous Authentication Scheme for IIoT

The rapid evolution of the Industrial Internet of Things (IIoT) has necessitated increased device interactions across various management domains. This entails devices from different domains collaborating on the same production task. This poses significant challenges for the dynamics of cross-domain authentication schemes. Traditional cross-domain authentication schemes struggle to support seamless switching between domains and face difficulties when accommodating devices that join and leave the same domain. Moreover, these schemes suffer from intricate interactions and suboptimal efficiency. To address these issues, we propose a dynamic group signature scheme based on a dynamic accumulator and a non-interactive zero-knowledge proof. We integrated this scheme with blockchain technology to construct an efficient revocation cross-domain authentication scheme. The proposed scheme enables cross-domain anonymous authentication with simple interactions and provides an efficient revocation function for illegal devices. This approach ensures conditional privacy-preserving and enables efficient member joining and exiting through a dynamic accumulator. It effectively addresses the dynamic requirements of devices involved in IIoT production and manufacturing processes. We prove the security of the proposed scheme using a random Oracle model and conduct thorough analyses to verify its resistance against various attacks. Furthermore, the experimental results demonstrate that the proposed scheme achieves better performance in terms of computational and communication costs.

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Publication Details

Journal
IEEE Transactions on Information Forensics and Security
Published
2024-12-25
DOI
https://doi.org/10.1109/tifs.2024.3523198
Citations
18
Primary Topic
Advanced Authentication Protocols Security
Type
article
Field-Weighted Citation Impact
6.28

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article

Efficient Revocable Cross-Domain Anonymous Authentication Scheme for IIoT

Qingyang Zhang, Hong Zhong, Debiao He, Jie Cui et al.
18 citations
IEEE Transactions on Information Forensics and Security
Advanced Authentication Protocols Security
6.28
article

Efficient Revocable Cross-Domain Anonymous Authentication Scheme for IIoT

Qingyang Zhang, Hong Zhong, Debiao He, Jie Cui, Meifang Zeng
article en
18 citations

Abstract

The rapid evolution of the Industrial Internet of Things (IIoT) has necessitated increased device interactions across various management domains. This entails devices from different domains collaborating on the same production task. This poses significant challenges for the dynamics of cross-domain authentication schemes. Traditional cross-domain authentication schemes struggle to support seamless switching between domains and face difficulties when accommodating devices that join and leave the same domain. Moreover, these schemes suffer from intricate interactions and suboptimal efficiency. To address these issues, we propose a dynamic group signature scheme based on a dynamic accumulator and a non-interactive zero-knowledge proof. We integrated this scheme with blockchain technology to construct an efficient revocation cross-domain authentication scheme. The proposed scheme enables cross-domain anonymous authentication with simple interactions and provides an efficient revocation function for illegal devices. This approach ensures conditional privacy-preserving and enables efficient member joining and exiting through a dynamic accumulator. It effectively addresses the dynamic requirements of devices involved in IIoT production and manufacturing processes. We prove the security of the proposed scheme using a random Oracle model and conduct thorough analyses to verify its resistance against various attacks. Furthermore, the experimental results demonstrate that the proposed scheme achieves better performance in terms of computational and communication costs.

IEEE Transactions on Information Forensics and SecurityVol. 20
Anhui University (CN), Wuhan University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 3%
Advanced Authentication Protocols Security
6.28
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