Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study
The adoption of machine learning and deep learning is on the rise in the cybersecurity domain where these AI methods help strengthen traditional system monitoring and threat detection solutions. However, adversaries too are becoming more effective in concealing malicious behavior amongst large amoun...
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Veröffentlicht in: | Applied Sciences-Basel 2018-12, Vol.8 (12) |
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Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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