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What is Federated Learning for DDoS Detection about?

This article presents a Federated Learning-based approach for decentralized DDoS attack detection in IoT networks, named FL-DAD, which utilizes Convolutional Neural Networks (CNN) to enhance detection efficiency while maintaining data privacy. The study demonstrates that FL-DAD outperforms traditional centralized detection methods when evaluated against the CICIDS2017 dataset. The proposed methodology addresses the challenges posed by the decentralized nature of IoT networks and aims to provide a scalable a

Author

hosna Ghahramani

Language

EN