Blockchain-Based Data Security Model for Distributed Information Systems
Keywords:
Blockchain, Distributed Information Systems, Data Security, Decentralized Governance, Socio-Technical Infrastructure, System RobustnessAbstract
The rapid decentralization of enterprise computing environments has necessitated a fundamental re-evaluation of data security architectures within distributed information systems. Traditional centralized security models, characterized by perimeter-based defenses and singular points of administrative control, are increasingly inadequate for mitigating the risks associated with multi-stakeholder data sharing, edge computing, and large-scale internet-of-things deployments. This research proposes an interdisciplinary, blockchain-based data security model designed to address the inherent vulnerabilities of distributed systems. By leveraging the immutability of distributed ledgers, cryptographic transparency, and decentralized consensus mechanisms, the proposed model provides a framework for data integrity, fine-grained access control, and comprehensive auditability. This paper explores the system-level trade-offs between computational overhead and security robustness, while simultaneously examining the socio-technical implications of decentralized governance. Furthermore, the study investigates the infrastructural requirements for deploying blockchain-based security at scale, addressing critical concerns such as energy sustainability, regulatory compliance, and the structural fairness of consensus protocols. Through a detailed analysis of architectural patterns—including permissioned versus permissionless frameworks—this research offers a strategic roadmap for the integration of blockchain technology into existing information infrastructures. The conclusion highlights the necessity of a holistic approach that balances technical innovation with policy-driven governance to ensure the long-term resilience and trustworthiness of distributed data ecosystems.
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