Implementing Blockchain-Based Secure Data Provenance Mechanisms for Ensuring Data Integrity and Authenticity in Cloud Networks

Abstract

This research focuses on establishing techniques to prove the integrity and genuineness of data in cloud networks through blockchain. With cloud computing paving its way into the new technological era, the importance of proper security measures to safeguard data and the history of that data has become exceedingly critical. This research presents an innovative approach to developing a system that uses blockchain to store data’s pedigree in cloud environments securely. The methodology comprises system architecture, which is elaborated into three layers: blockchain, cloud integration, and user interface. The type of smart contract implementation used in cloud networks is elucidated along with data capture methods, integrityCheck procedures, and the available authentications and consensus frameworks. The results also reveal that the proposed methods achieve higher levels of data security with better protection against data tampering and unauthorized data access. Throughput and scalability analysis depicts the possibility of high performance, while usability studies indicate the applicability to various organizations. The comparison shows greater efficiency with the existing solutions, for example, by the presence of complete lists of features and instantaneous monitoring. Nevertheless, this paper revealed some unresolved issues, such as cross-cloud integration and privacy concerns, and added significant value to the literature on cloud security. The conclusions drawn from the research show that there is a strong possibility that blockchain-based provenance applications can transform data handling and protection with the advancement of cloud solutions and structures.