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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Detaylı Bibliyografya
Asıl Yazarlar:	Umesh Kumar Lilhore, Yogesh Kumar Sharma, S. Pradeep, Saeed Rubaiee, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani, Lidia Gosy Tekeste
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	SpringerOpen 2026-04-01
Seri Bilgileri:	Journal of Cloud Computing: Advances, Systems and Applications
Konular:	Federated learning Blockchain Edge computing CNN-LSTM Anomaly detection Privacy-preserving learning
Online Erişim:	https://doi.org/10.1186/s13677-026-00907-4
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Blockchain-enabled federated learning framework with hybrid CNN-LSTM anomaly detection for secure edge IoT networks

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