International Journal of Science, Engineering and TechnologyAuthors: Vanaja Kumari Degala
Abstract: With the rapid growth of cloud computing, cloud storage has become a widely adopted solution for data management. Ensuring the integrity and availability of outsourced cloud data remains a critical challenge. Although numerous cloud data auditing schemes have been proposed, many rely on public key infrastructure (PKI) or identity-based encryption, which introduce complexities such as certificate management and key escrow issues. To address these limitations, this paper proposes a certificateless encryption–based, blockchain-assisted public cloud data integrity auditing scheme. The proposed scheme leverages blockchain technology to transparently supervise the behavior of semi-trusted third-party auditors, thereby enhancing trust and accountability. To support efficient dynamic data updates while preserving data privacy, a novel data structure integrating a counting Bloom filter with a Multi-Merkle Hash Tree is introduced. The security of the scheme is grounded in the hardness of the discrete logarithm problem, and a comprehensive security model is formally defined and analyzed. Performance evaluations and comparative analyses demonstrate that the proposed scheme achieves improved efficiency and reduced computational overhead compared with existing approaches. Experimental results further validate the scheme’s practicality, robustness, and effectiveness in ensuring cloud data integrity.
