Published on: April 2026
FEDERATED BLOCKCHAIN: A HYBRID APPROACH TO SCALABILITY AND SECURITY
Khushi Sharma Vanshika Gupta Mehak Garg
Dr Deepshikha Aggarwal
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Abstract
Federated blockchain has emerged as a promising solution to address the scalability and security limitations of traditional blockchain systems. However, existing approaches often struggle to balance decentralization, efficiency, and data privacy. This paper presents a comprehensive study of federated blockchain architecture integrated with federated learning to enhance system performance and secure data sharing. The proposed methodology analyzes key components such as consensus mechanisms, cryptographic techniques, and scalability models including sharding and off-chain solutions. A comparative evaluation is conducted to assess transaction throughput, latency, and security robustness across different blockchain models. The results indicate that federated blockchain significantly improves transaction processing efficiency while maintaining strong security guarantees through hybrid consensus mechanisms such as Byzantine Fault Tolerance (BFT) and Proof of Authority (PoA). Furthermore, the integration of federated learning enhances privacy-preserving data processing without exposing sensitive information. The study highlights the potential of federated blockchain in applications such as healthcare, finance, and IoT. Finally, challenges related to interoperability and governance are discussed, along with future research directions focusing on AI integration and quantum-resistant cryptography
How to Cite this Paper
Sharma, K., Gupta, V. & Garg, M. (2026). Federated Blockchain: A Hybrid Approach to Scalability and Security. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.608
Sharma, Khushi, et al.. "Federated Blockchain: A Hybrid Approach to Scalability and Security." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.608.
Sharma, Khushi,Vanshika Gupta, and Mehak Garg. "Federated Blockchain: A Hybrid Approach to Scalability and Security." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.608.
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References
- Ali, A., Ali, H., Sa+ed, A., Ahmed Khan, A., Tin, T. T., Assam, M., ... & Mohamed, H. G. (2023). Blockchain-powered healthcare systems: Enhancing scalability and security with hybrid deep learning. Sensors, 23(18), 7740.
- https://doi.org/10.3390/s23187740
- Rahman, A., Hossain, M. S., Islam, M. S., Alrajeh, N. A., & Muhammad, G. (2020). Secure and provenance-enhanced internet of health things framework: A blockchain-managed federated learning approach. IEEE Access, 8, 205071-205087. https://doi.org/10.1109/ACCESS.2020.3036123
- Desai, B., Ozdayi, M. S., & Kantarcioglu, M. (2021, April). Blockfla: Accountable federated learning via hybrid blockchain architecture. Proceedings of the Eleventh ACM Conference on Data and Application Security and Privacy, 101-112. https://doi.org/10.1145/3460120.3477321
- Venkatesan, K., & Rahayu, S. B. (2024). Blockchain security enhancement: An approach towards hybrid consensus algorithms and machine learning techniques. Scientific Reports, 14(1), 1149.
- https://doi.org/10.1038/s41598-024-01149-9
- Ahmed, A. A., & Alabi, O. (2024). Secure and scalable blockchainbased federated learning for cryptocurrency fraud detection: A systematic review. IEEE Access.
- Orabi, M. M., Emam, O., & Fahmy, H. (2025). Adapting security and decentralized knowledge enhancement in federated learning using blockchain technology: Literature review. Journal of Big Data, 12(1), 55.
- https://doi.org/10.1186/s40537-025-00455-6
- Issa, , Moustafa, N., Turnbull, B., Sohrabi, N., & Tari, Z. (2023). Blockchain-based federated learning for securing the internet of things: A comprehensive survey. ACM Computing Surveys, 55(9), 1 -43
- https://doi.org/10.1145/3606076
- Madill, E., Nguyen, B., Leung, C. K., & Rouhani, S. (2022, May). ScaleSFL: A sharding solution for blockchain-based federated Proceedings of the Fourth ACM International Symposium on Blockchain and Secure Critical Infrastructure, 95-106. https://doi.org/10.1145/3524370.3537710
- Golder, S., Mondal, S., Das, S., Bose, R., Sutradhar, S., & Mondal,H. (2024, December). Hybrid Blockchain Framework for Secure and Scalable Internet of Things (IoT) Networks (HB-IoT): A Novel Approach. 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA), 17. IEEE.
- Kathole, B., Vhatkar, K. N., Goyal, A., Kaushik, S., Mirge, A. S., Jain, P., & Islam, M. T. (2024). Secure Federated Cloud Storage Protection Strategy Using Hybrid Heuristic Attribute-Based Encryption with Permissioned Blockchain. IEEE Access.
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- •Published on: Apr 23 2026
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