Federated Learning for Cybersecurity: A Privacy-Preserving Approach

Federated Learning for Cybersecurity: A Privacy-Preserving Approach

The growing number of cyber threats and the implementation of stringent privacy regulations have revealed significant shortcomings in traditional centralized machine learning models, especially in distributed systems like the Internet of Things (IoT). This study presents a Federated Learning (FL) fr...

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Bibliographic Details
Main Authors: Edi Marian Timofte, Mihai Dimian, Adrian Graur, Alin Dan Potorac, Doru Balan, Ionut Croitoru, Daniel-Florin Hrițcan, Marcel Pușcașu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
federated learning
cybersecurity
intrusion detection
privacy preservation
IoT security
machine learning
Online Access:https://www.mdpi.com/2076-3417/15/12/6878
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https://www.mdpi.com/2076-3417/15/12/6878

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