Blockchain-Enabled Security Mechanisms for Cloud Data Protection

Abstract

The protection of sensitive assets through confidentiality, integrity, and accountability in distributed computing environments is one of the most important factors to consider because the threats to cloud infrastructures keep changing. To lessen these issues, the current work proposes a consensus based confidential data orchestration model (CD-COF) that employs demoralized trust enforcement and adapt meter of encryption that is used to bolster the safety of data. As in the suggested approach, every data item will be in a dynamic encryption cycle to integrate lattice-based post-quantum cryptography with the homomorphic encryption algorithm, allowing secure data storage and computation against aspiring cryptanalytic algorithms. The require cipher fragments or data is irreversibly encoded into a distributed registry replicated by cluster of validators in such a way that they result in tamper-proof inspection without revealing the data. To regulate access control, smart contracts authenticate zero-knowledge compliance proofs to ensure that a requester who wishes to gain access without supplying credentials does it. More importantly the ephemeral session tokens generated by verifiable random functions prevent attacks of re-play and collusion and a multi-dimensional trust scoring degree that a-dynamically reallocates access rights to the user, based on his or her usage habits. With the adaptive encryption and immutable anchoring implemented and verifiable access orchestration exploited, the new solution forms a robust and resilient security model in data protection of the decentralized domain of the cloud environment in the future. In it integrated domain of encoding, anchorage with ledgers and trust-based enforcement of access controls, the proposed CD-COF method has a total accuracy of 97 percent in protecting data at the cloud based.