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MediChainAudit: Encrypted Medical Data Auditing on Blockchain with Fuzzy Deduplication and Secure Sharing
Journal article

MediChainAudit: Encrypted Medical Data Auditing on Blockchain with Fuzzy Deduplication and Secure Sharing

Jie Zhang, Xiaohong Li, Ruitao Feng, Shanshan Xu, Yongyang Lv, Zhe Hou and Guangdong Bai
IEEE transactions on dependable and secure computing, Vol.First online, pp.1-17
17/08/2026
DOI: https://doi.org/10.1109/TDSC.2026.3724153
Appears in  Recent Faculty of Science and Engineering Publications

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Abstract

Deduplication and Integrity Audit Fuzzy Message-Locked Encryption Privacy-preserving Data Transmis sion Protocol Cloud Security Blockchain PRV-CDA security
Cloud storage increasingly uses deduplication to re duce costs, while users require strong confidentiality and integrity for outsourced data—especially in healthcare, where sensitive, redundant data is frequently shared under strict privacy constraints. Although Message-Locked Encryption (MLE) supports encrypted deduplication, existing methods focus on exact duplicates and assume trusted auditors, making them unsuitable for medical use. We propose MediChainAudit, a blockchain-based system for medical clouds that integrates: (i) an enhanced encryption mode enabling fuzzy (similarity-aware) block-level dedu plication, (ii) a decentralized public audit framework removing the need for trusted third parties, and (iii) a secure key-exchange and sharing protocol. Using a hybrid storage model—on-chain integrity tags and off-chain ciphertext—the system minimizes blockchain overhead while supporting verifiable secure deletion. We formalize security goals including PRV-CDA confidentiality, integrity, ownership consistency, and deduplication correctness, providing proofs under standard cryptographic assumptions. To our knowledge, MediChainAudit is the first blockchain-based solution to integrate fuzzy deduplication auditing, secure sharing, and side-channel attack defense with proven PRV-CDA security.

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