Repository Copy of: Machine Learning Models and Explainable Artificial Intelligence Approaches for Intrusion Detection in IoT Networks

Key Points

• The central aim is to explore the application of machine learning and explainable AI in enhancing intrusion detection systems tailored for IoT networks.
• Details of the machine learning algorithms used for intrusion detection in IoT networks are discussed.
• Explainable AI approaches are examined for improving the interpretability of the detection models.
• Highlights the effectiveness of machine learning models in detecting intrusions in IoT networks.
• Discusses the benefits of using explainable AI to provide insights into model decisions.