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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Autors principals:	Umesh Kumar Lilhore, Yogesh Kumar Sharma, S. Pradeep, Saeed Rubaiee, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani, Lidia Gosy Tekeste
Format:	Artigo
Idioma:	Inglês
Publicat:	SpringerOpen 2026-04-01
Col·lecció:	Journal of Cloud Computing: Advances, Systems and Applications
Matèries:	Federated learning Blockchain Edge computing CNN-LSTM Anomaly detection Privacy-preserving learning
Accés en línia:	https://doi.org/10.1186/s13677-026-00907-4
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