Secure Data Sharing and Mining in Distributed Environments

In today's interconnected world, distributed systems have emerged as the backbone for facilitating global collaborations and real-time data exchanges. As more organizations migrate to distributed architectures, the ability to share and mine data securely across disparate networks becomes paramount. Secure data sharing ensures that information is accessible to only authorized entities, while secure data mining aims to extract meaningful patterns from vast datasets without compromising privacy or integrity. This paper delves into the intricacies of implementing robust security protocols in distributed environments, emphasizing the Role-Based Access Control (RBAC) and transaction processing mechanisms. Through a comprehensive exploration, we aim to highlight the importance of marrying security with functionality to harness the full potential of distributed systems without sacrificing confidentiality and trust.