Distributed IoT Security with Blockchain, Privacy-Preserving Techniques, and Predictive Maintenance Models
This paper proposes a novel blockchain-based framework for distributed IoT security that integrates federated learning, IPFS, and lightweight cryptography to overcome scalability and resource constraints, achieving near-perfect accuracy (99.88%) and robust anomaly detection for real-time predictive maintenance across diverse applications.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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