Intrusion detection in networks using ensemble-based deep federated learning

Puntos clave

• Effective intrusion detection is achieved through ensemble methods in deep federated learning, enhancing network security.
• A notable increase in detection accuracy and robustness was observed, outperforming traditional methods in multiple scenarios.
• Analysis of network traffic utilized ensemble-based deep learning techniques to identify potential threats effectively.
• This framework highlights the need for scalable cybersecurity solutions in diverse network environments.