Corrections to “On the Security of a Revocable Cross-Domain Anonymous Authentication in IIoT”

With the rapid growth of the Industrial Internet of Things (IIoT), secure and efficient collaboration among devices from different domains is essential for achieving collaborative production tasks. Recently, Zeng et al. proposed a dynamic group signature scheme using dynamic accumulators and zero-knowledge proofs. Although they claim that their scheme ensures unlinkability of signatures, our analysis shows that their scheme is vulnerable and fails to provide unlinkability. After presenting our attack, we analyze the underlying causes of these vulnerabilities and propose an improvement to address them.

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Publication Details

Journal
IEEE Transactions on Information Forensics and Security
Published
2025-01-01
DOI
https://doi.org/10.1109/tifs.2025.3574979
Citations
1
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
2.48
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article

Corrections to “On the Security of a Revocable Cross-Domain Anonymous Authentication in IIoT”

Jianhong Zhang, Chuming Shi
1 citations
IEEE Transactions on Information Forensics and Security
Cryptography and Data Security
2.48
article

Corrections to “On the Security of a Revocable Cross-Domain Anonymous Authentication in IIoT”

Jianhong Zhang, Chuming Shi
article en
1 citations

Abstract

With the rapid growth of the Industrial Internet of Things (IIoT), secure and efficient collaboration among devices from different domains is essential for achieving collaborative production tasks. Recently, Zeng et al. proposed a dynamic group signature scheme using dynamic accumulators and zero-knowledge proofs. Although they claim that their scheme ensures unlinkability of signatures, our analysis shows that their scheme is vulnerable and fails to provide unlinkability. After presenting our attack, we analyze the underlying causes of these vulnerabilities and propose an improvement to address them.

IEEE Transactions on Information Forensics and SecurityVol. 20
North China University of Technology (CN)
Reduced inequalities
Openalex Percentile: Top 10%
Cryptography and Data Security
2.48
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