Blockchain-Based Efficient Integrity Auditing and Deduplication for Outsourced Data with Privacy Assurance
Yangyang Long, Changgen Peng, Yuling Chen, Jing Fang Sun, Hui Dou · Blockchain Research and Applications · 2025
In the digital age, the unprecedented pace of data generation and accumulation underscores that making secure data storage and efficient management is of paramount significance, especially the concerning integrity auditing and deduplication on cloud data. However, the data management and privacy issues remain significant challenges. Existing solutions often rely on the assistance of a trust third-party auditor (TPA), the repetitive authentication tags and keys lead to unnecessary consumption of storage and computation resources, and also risks the exposure of ownership privacy and the susceptibility to forge auditing results. Thus, we introduce a blockchain-based efficient integrity auditing and deduplication scheme that achieves key deduplication, ownership protection, batch auditing and unforgeability of auditing results. Specifically, we adopt a servers-aided strategy to generate the signing keys, which effectively ensures the key deduplication and tag deduplication. The user can recover the signing keys from the key materials on blockchain and later generate the lightweight authentication tags. Furthermore, we present blockchain-based decentralized integrity auditing without TPA and strengthen the reliability of auditing result. Based on this, we facilitate efficient batch auditing for a user with multiple files, the user is able to check data integrity of multiple files using a single aggregated proof. Theoretical analysis proves the correctness and security. Experimental results shows that it is superior to previous methods.