Using Federated Learning for Collaborative Intrusion Detection Systems

Neural networks have become cutting edge machine learning models for detecting network attacks. Traditional implementations provide fast and accurate predictions, but require centralised storage of labelled historical data for training. This solution is not always suitable for real-world application...

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Bibliographic Details
Main Authors: Matteo Rizzato, Youssef Laarouchi, Christophe Geissler
Format: Article
Language:English
Published: International Institute of Informatics and Cybernetics 2023-06-01
Series:Journal of Systemics, Cybernetics and Informatics
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Online Access:http://www.iiisci.org/Journal/PDV/sci/pdfs/SA291HE23.pdf
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