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

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Bibliographic Details
Published in:Journal of Cloud Computing : Advances, Systems and Applications
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Cloud Computing : Advances, Systems and Applications
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:45982
institution FRELIP
journal_source_facet Journal of Cloud Computing : Advances, Systems and Applications
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Blockchain-enabled federated learning framework with hybrid CNN-LSTM anomaly detection for secure edge IoT networks
Internet
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Internet
Technology & Engineering — Computing
Technology & Engineering
Internet
Technology & Engineering — Computing
Technology & Engineering
subject_facet Internet
Technology & Engineering — Computing
Technology & Engineering
title Blockchain-enabled federated learning framework with hybrid CNN-LSTM anomaly detection for secure edge IoT networks
title_auth Blockchain-enabled federated learning framework with hybrid CNN-LSTM anomaly detection for secure edge IoT networks
title_full Blockchain-enabled federated learning framework with hybrid CNN-LSTM anomaly detection for secure edge IoT networks
title_fullStr Blockchain-enabled federated learning framework with hybrid CNN-LSTM anomaly detection for secure edge IoT networks
title_full_unstemmed Blockchain-enabled federated learning framework with hybrid CNN-LSTM anomaly detection for secure edge IoT networks
title_short Blockchain-enabled federated learning framework with hybrid CNN-LSTM anomaly detection for secure edge IoT networks
title_sort blockchain-enabled federated learning framework with hybrid cnn-lstm anomaly detection for secure edge iot networks
topic Internet
Technology & Engineering — Computing
Technology & Engineering
url https://link.springer.com/article/10.1186/s13677-026-00907-4