Attribute-Based Heterogeneous Data Privacy Sharing in Blockchain-Assisted Industrial IoT

Industrial Internet of Things (IIoT) enables highly automated and intelligent cross-domain communication. Due to varying computational capabilities and security requirements, cross-domain IIoT data sharing involves the design of security protocols using different cryptosystems. Attribute-based searchable encryption enables fine-grained access control and ciphertext retrieval, but existing schemes are primarily designed on a singular cryptosystem, lacking support for searches on heterogeneous ciphertext. Moreover, related schemes still suffer from technical challenges, such as the single point bottleneck, caused by a single attribute authority, issues with attribute updates, and forward secrecy attacks. In this article, we propose an attribute-based heterogeneous data privacy sharing (AB-HDPS) scheme for blockchain-assisted IIoT. Attribute-authorized users within a public key infrastructure cryptosystem can search ciphertext from data owners in a certificateless cryptosystem. The scheme utilizes multiple authorities to generate attribute keys, employs a glass-box traceable mechanism to prevent misuse of attribute keys, and implements subset-cover trees for attribute revocation. Specifically, leveraging the immutability of blockchain, the AB-HDPS scheme supports traceability and auditing of user access. Security analysis shows that the AB-HDPS scheme can resist internal keyword guessing and chosen-plaintext attacks, and it satisfies forward security. Comparative experimental simulations demonstrate that the AB-HDPS scheme with outsourced decryption has satisfactory computational performance, and the performance of the blockchain system within the scheme is commendable.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2024-12-04
DOI
https://doi.org/10.1109/jiot.2024.3510872
Citations
1
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.35

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article

Attribute-Based Heterogeneous Data Privacy Sharing in Blockchain-Assisted Industrial IoT

Pengfei Duan, Hongmin Gao, Zhetao Guo, Zhaofeng Ma et al.
1 citations
IEEE Internet of Things Journal
Privacy-Preserving Technologies in Data
0.35
article

Attribute-Based Heterogeneous Data Privacy Sharing in Blockchain-Assisted Industrial IoT

Pengfei Duan, Hongmin Gao, Zhetao Guo, Zhaofeng Ma, Yushi Shen, Tian Tian
article en
1 citations

Abstract

Industrial Internet of Things (IIoT) enables highly automated and intelligent cross-domain communication. Due to varying computational capabilities and security requirements, cross-domain IIoT data sharing involves the design of security protocols using different cryptosystems. Attribute-based searchable encryption enables fine-grained access control and ciphertext retrieval, but existing schemes are primarily designed on a singular cryptosystem, lacking support for searches on heterogeneous ciphertext. Moreover, related schemes still suffer from technical challenges, such as the single point bottleneck, caused by a single attribute authority, issues with attribute updates, and forward secrecy attacks. In this article, we propose an attribute-based heterogeneous data privacy sharing (AB-HDPS) scheme for blockchain-assisted IIoT. Attribute-authorized users within a public key infrastructure cryptosystem can search ciphertext from data owners in a certificateless cryptosystem. The scheme utilizes multiple authorities to generate attribute keys, employs a glass-box traceable mechanism to prevent misuse of attribute keys, and implements subset-cover trees for attribute revocation. Specifically, leveraging the immutability of blockchain, the AB-HDPS scheme supports traceability and auditing of user access. Security analysis shows that the AB-HDPS scheme can resist internal keyword guessing and chosen-plaintext attacks, and it satisfies forward security. Comparative experimental simulations demonstrate that the AB-HDPS scheme with outsourced decryption has satisfactory computational performance, and the performance of the blockchain system within the scheme is commendable.

IEEE Internet of Things JournalVol. 12(8)
Beijing University of Posts and Telecommunications (CN), China Mobile (China) (CN), DigitalSpace (United States) (US), Cloud Computing Center (CN), System Equipment (China) (CN)
Beijing Municipal Natural Science Foundation, National Key Research and Development Program of China
Industry, innovation and infrastructure
Openalex Percentile: Top 31%
Privacy-Preserving Technologies in Data
0.35
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