Machine Learning based Cyber Attack Detection and Classification in O-RAN

Puntos clave

• Machine learning algorithms significantly improve cyber attack classification accuracy.
• Detection rates exceeded 90% in simulated O-RAN environments, highlighting the model's effectiveness.
• Analysis employed advanced machine learning approaches to classify and detect cyber attacks efficiently.
• The findings support stronger cyber defense strategies against emerging threats in next-generation networks.