Enhancing aviation control security through ADS-B injection detection using ensemble meta-learning models with Explainable AI

Exploring foci of: Alexandria Engineering Journal • Vol 112 Enhancing aviation control security through ADS-B injection detection using ensemble meta-learning models with Explainable AI November 2024 • Vajratiya Vajrobol, Geetika Jain Saxena, Sanjeev Singh, Amit Pundir, Brij B. Gupta, Akshat Gaurav, Kwok Tai Chui The increasing use of Automatic Dependent Surveillance-Broadcast (ADS-B) technology in flight control systems has created many serious concerns.These weaknesses threaten the security and safety of our aviation industry. Therefore, to enhance aviation control security and better deal with these problems, this research focuses on developing a strong ADS-B injection detection system. It combines XGBoost and Random Forest with Logistic Regression in an Ensemble Learning Meta-Learning Model to identify ADS-B injection … Open Article Page

Aviation Airport Security Ensemble Learning Computer Science Aeronautics Engineering Computer Security Artificial Intelligence Aerospace Engineering Open Article