Abstract:
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Corresponding author email : azeri.nabila@gmail.com
Enhancing Cyber Attack Detection through Federated Machine
Learning: A Privacy-Preserving Framework
Azeri, Nabila*1; Benmerzoug, Djamel2
1Abbes Laghrour University, Khenchela
2Université Abdelhamid Mehri - Constantine 2
Abstract
In this paper, we propose a novel framework for enhancing
cyber attack detection through the application of Federated Machine Learning
(FML). As cyber threats become increasingly sophisticated and frequent,
traditional machine learning approaches that centralize data collection present
significant privacy and security challenges
