A Sensitivity-Aware Blockchain Duplication and Verification Algorithm (SAB-DVA) For Secure, Adaptive, and Authenticated Data Redundancy in Cloud Environments

Abstract

In modern cloud infrastructures, reliable and secure data redundancy is crucial for preserving data integrity and availability when highly sensitive datasets are at stake. Within this challenge, the proposed Sensitivity-Aware Blockchain Duplication and Verification Algorithm (SAB-DVA) introduces a novel multi-layered framework that integrates adaptive duplication, blockchain based verification, and multi-factor authentication mechanisms. This algorithm will dynamically decide the duplication factor with respect to data sensitivity levels through adaptive duplication logic and employ SHA-256 hashing for secure data identification. Each duplicated dataset will be stored in a secondary data blockchain, while its corresponding hash values, duplication count, and descriptive metadata are recorded in a primary verification blockchain, establishing a dual-chain architecture for secure redundancy tracking and tamper-proof verification. SAB-DVA makes use of smart contract-driven validation to ensure duplication integrity in both the backup creation and retrieval processes. In case of corruption or loss of the original data, the verified duplicate is retrieved with the help of its hash reference from the metadata blockchain.

Restoration is allowed only after an identity verification and OTP-based authentication process, to ensure that the duplicated data can be accessed by an authorized user only. Each request for individual access is validated through a unique one-time password, while for group-based sensitive data, a threshold-split OTP mechanism is employed that shares partial OTP keys among authorized members-requiring their collective participation to reconstruct access credentials.

The proposed SAB-DVA algorithm combines adaptive duplication, blockchain hashing, metadata validation, and multi-layer OTP authentication for resilient, scalable, and tamper-resistant cloud-based data backup and retrieval. Experimental results and theoretical analysis show that this algorithm enhances storage efficiency, reduces duplication redundancy, and strengthens data confidentiality in decentralized cloud ecosystems. Keywords: Cloud Storage, Data Duplication, Blockchain, Data Integrity, Adaptive Duplication Logic, SHA-256 Hashing, Metadata Blockchain, Dual-Chain Architecture, Smart Contracts, OTP-Based Authentication, Threshold-Split OTP, Data Verification, Secure Backup, Decentralized Systems, SAB-DVA Algorithm.