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Title: Federated Learning for Distributed Anomaly Detection in Network Traffic Using GRU-Based Models
Authors: Hamad Riaz, Muhammad Zunnurain Hussain, Muhammad Zulkifl Hasan, Muzzamil Mustafa
Journal: Spectrum of Engineering Sciences
| Category | From | To |
|---|---|---|
| Y | 2024-10-01 | 2025-12-31 |
Publisher: Sociology Educational Nexus Research Institute
Country: Pakistan
Year: 2025
Volume: 3
Issue: 3
Language: en
Keywords: Federated LearningIoT SecurityDistributed computingPrivacy PreservingGRU-Based ModelsNetwork Traffic Anomaly DetectionEdge-IIoTset Dataset
In this work, we present a novel machine learning method for anomaly detection in network traffic based on GRU based federated learning. Our decentralized method is supported by extensive experimental results and comparisons with existing techniques, and successfully addresses scenarios where centralized servers are not feasible due to privacy concerns or other constraints, and successfully detects anomalies in the distributed environments..
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