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Trust management for IoT devices based on federated learning and blockchain

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Abstract

The rapid growth of IoT devices and the increasing demand for device interaction between different network partitions have significantly pressured IoT device management. To realize cross-domain trust integration between different partitioned devices, trust management becomes the key technology to realize cross-domain communication. However, trust management heavily relies on third-party entities, posing centralized risks. Therefore, we propose an IoT device trust management system based on federated learning and blockchain. By utilizing federated learning to assess device reputation ratings while safeguarding their privacy, the system stores reputation assessment results on the blockchain for authenticity and accuracy. The system’s decentralization is achieved using blockchain instead of a central server in federated learning. Additionally, we introduce a weighted aggregation model based on device attributes to obtain a more precise global model through weighted aggregation of local models in federated learning. Experimental results using a simulated dataset reflecting device characteristics demonstrate a device evaluation accuracy of \(90.2\%\), validating the system’s effectiveness and feasibility.

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Data availability statement

No datasets were generated or analyzed during the current study.

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Funding

This research was supported in part by the Central Government for Local Science and Technology Development (246Z0704G, 236Z0701G), the Science Research Project of Hebei Education Department (BJK2024095), the Natural Science Foundation of Hebei Province (F2024201004), and the Innovation Capacity Enhancement Program-Science and Technology Platform Project of Hebei Province (22567638H).

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Author notes

  1. Yilin Li and Lina Zuo have contributed equally to this work.

Authors and Affiliations

  1. School of Cyber Security and Computer, Hebei University, Baoding, 071000, China

    Liang Wang, Yilin Li & Lina Zuo

  2. Hebei Key Laboratory of High Trusted Information System, Hebei University, Baoding, 071000, China

    Liang Wang & Lina Zuo

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  1. Liang Wang
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  2. Yilin Li
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All authors contributed equally to this work.

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Correspondence to Yilin Li.

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Wang, L., Li, Y. & Zuo, L. Trust management for IoT devices based on federated learning and blockchain. J Supercomput 81, 232 (2025). https://doi.org/10.1007/s11227-024-06715-4

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