DroneGuard: An Explainable and Efficient Machine Learning Framework for Intrusion Detection in Drone Networks
Paper Title: DroneGuard: An Explainable and Efficient Machine Learning Framework for Intrusion Detection in Drone Networks
Journal Name: IEEE Internet of Things
Abstract: Vulnerabilities in drone networks stem from the reliance on GPS and wireless communication technologies, combined with the lack of robust security mechanisms. This study proposes DroneGuard, a comprehensive cybersecurity framework leveraging supervised machine learning (ML) and explainable artificial intelligence (XAI) to detect intrusions and provide insights into the decision-making process of the security model.