Decentralized Trust Models for Cloud Computing: A Blockchain-Driven Framework with Edge Intelligence

  • Unique Paper ID: 184007
  • PageNo: 3858-3866
  • Abstract:
  • Cloud computing has become the backbone of digital transformation, offering scalable resources and flexible service delivery. Yet, reliance on centralized trust models exposes users to insider attacks, opaque service-level agreements, and systemic risks such as single points of failure. These limitations undermine transparency and weaken user confidence in cloud ecosystems. Blockchain, with its decentralized ledger and immutable records, provides a strong foundation for verifiable trust management. However, conventional blockchain-based approaches often struggle with scalability and latency, especially in large-scale cloud environments. To address these challenges, this paper proposes a decentralized trust model that integrates blockchain with edge intelligence. The framework leverages distributed consensus, smart contracts, and edge nodes for real-time, context-aware trust evaluation. By shifting computation closer to users, the model reduces delays, enhances transparency, and mitigates insider risks. Comparative analysis indicates that this approach improves trust assessment accuracy while lowering transaction latency. The integration of blockchain and edge intelligence thus lays the groundwork for next-generation secure, transparent, and regulation-compliant cloud ecosystems. Future research directions include integration with Web 3.0, IoT-cloud convergence, and AI-driven trust optimization.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{184007,
        author = {Manoj Prajapati and Dr. Vishant Kumar},
        title = {Decentralized Trust Models for Cloud Computing: A Blockchain-Driven Framework with Edge Intelligence},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {3858-3866},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184007},
        abstract = {Cloud computing has become the backbone of digital transformation, offering scalable resources and flexible service delivery. Yet, reliance on centralized trust models exposes users to insider attacks, opaque service-level agreements, and systemic risks such as single points of failure. These limitations undermine transparency and weaken user confidence in cloud ecosystems. Blockchain, with its decentralized ledger and immutable records, provides a strong foundation for verifiable trust management. However, conventional blockchain-based approaches often struggle with scalability and latency, especially in large-scale cloud environments. To address these challenges, this paper proposes a decentralized trust model that integrates blockchain with edge intelligence. The framework leverages distributed consensus, smart contracts, and edge nodes for real-time, context-aware trust evaluation. By shifting computation closer to users, the model reduces delays, enhances transparency, and mitigates insider risks. Comparative analysis indicates that this approach improves trust assessment accuracy while lowering transaction latency. The integration of blockchain and edge intelligence thus lays the groundwork for next-generation secure, transparent, and regulation-compliant cloud ecosystems. Future research directions include integration with Web 3.0, IoT-cloud convergence, and AI-driven trust optimization.},
        keywords = {Cloud Computing; Decentralized Trust; Blockchain; Edge Intelligence; Smart Contracts; Trust Management; Distributed Ledger; Web 3.0; Cloud Security; Compliance},
        month = {August},
        }

Cite This Article

Prajapati, M., & Kumar, D. V. (2025). Decentralized Trust Models for Cloud Computing: A Blockchain-Driven Framework with Edge Intelligence. International Journal of Innovative Research in Technology (IJIRT), 12(3), 3858–3866.

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