Privacy-Preserving Data Analysis using Decentralized Blockchain-Based Authentication with Zero-Knowledge Cloud Auditing
L V Vedashree, Yogesh Ramaswamy, Leeladhar Gudala, Haydeer MohamadAbbas, C. Sushama · 2025
Nowadays, the increasing adoption of cloud computing has raised concerns about data privacy and security. However, the existing Homomorphic Encryption (HE) model has limited scalability which led to time-consuming in large-scale cloud computing environments. Hence, this research proposes Decentralized Blockchain-based Authentication with Zero-Knowledge Cloud Auditing (DBA-ZKCA) to improve data security and integrity in cloud computing environments. The proposed DBA-ZKCA consists of five key phases to ensure the privacy, authentication and secure data communication. The first phase initialization sets up cryptographic keys and identity verification parameters before cloud operations starts. These operations are executed by Cloud Service Providers (CSP) and Revocation Admin (RA) respectively. Then, cloud consumer registration phase allows only authorized users to access the cloud services. After that, authentication based on anonymous access phase utilizes DBA to store immutable authentication records. Next, the secure cloud communications phase with ZKCA where the Zero-Knowledge Proofs (ZKP) allow cloud users to verity data integrity without revealing actual data. Finally, revocation phase utilizes RA to revoke access for unauthorized users and updates authentication records for preventing future access. From the results, the proposed DBAZKCA achieved better results when compared to existing Federated Learning and Cryptography (FLC) in terms of accuracy (98.9%) respectively.