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Blockchain-enabled federated learning framework with hybrid CNN-LSTM anomaly detection for secure edge IoT networks

Abstract Edge computing and Internet of Things (IoT) systems have introduced significant challenges in ensuring privacy, security, and trust in decentralized environments. This paper proposes FedChain-P2P, a novel federated learning framework that integrates blockchain-based trust management with de...

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Main Authors: Umesh Kumar Lilhore, Yogesh Kumar Sharma, S. Pradeep, Saeed Rubaiee, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani, Lidia Gosy Tekeste
Format: Artigo
Language:Inglês
Published: SpringerOpen 2026-04-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Federated learning
Blockchain
Edge computing
CNN-LSTM
Anomaly detection
Privacy-preserving learning
Online Access:https://doi.org/10.1186/s13677-026-00907-4
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