Designing Blockchain-Based Frameworks for Enhancing Data Security and Integrity in Decentralized Computing Networks

This research paper is a study of creating a blockchain-based system that would make data more secure and consistent in the decentralized information computing system. By pursuing qualitative exploratory research methodology, the study combines the findings of eight adaptively designed interviews with blockchain developers, enterprise IT managers, legal practitioners, and academic researchers. Thematic analysis disclosed five major dimensions defining secure blockchain architecture: Security Mechanisms, Scalability, Governance, Regulatory Compliance and Privacy & Confidentiality. Results indicate the need to focus on strong cryptographical protection, optimization, adaptive governance, legal alignment, and privacy-preserving protocols, including zero-knowledge proofs. Technical and institutional obstacles were identified by the stake holders, and it was noted that a balanced and modular framework that has capability of satisfying various operational and regulatory requirements is sought. This research adds a conceptual model informed by stakeholders and advises a simulation and implementation trial as the next stage to examine the applicability of the model in practice. The results present both theoretical and practical advice on the design of safe, scalable, and regulatory-compliant architectures of blockchain environments in distributed systems.