Smart Cybersecurity Framework for IoT-Empowered Drones: Machine Learning Perspective

• Published in: Sensors (Basel, Switzerland) Vol. 22; no. 7; p. 2630
• Main Authors: Aldaej, Abdulaziz, Ahanger, Tariq Ahamed, Atiquzzaman, Mohammed, Ullah, Imdad, Yousufudin, Muhammad
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 29.03.2022; MDPI
• Subjects: Access control; Artificial intelligence; Blockchain; Communication; Computer Security; Computer software industry; Cybersecurity; Cyberterrorism; Data integrity; Data security; Drones; Internet; Internet of Things; Machine Learning; Military aspects; Military deployment; Privacy; Reproducibility of Results; Safety and security measures; security; Sensors; Smart cities; Surveillance; Unmanned Aerial Devices; Unmanned aerial vehicles; United States; Germany; security; drones; Internet of Things; machine learning

Drone advancements have ushered in new trends and possibilities in a variety of sectors, particularly for small-sized drones. Drones provide navigational interlocation services, which are made possible by the Internet of Things (IoT). Drone networks, on the other hand, are subject to privacy and sec...