aspg-2-1107-1791416975 20261007234935 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Cybersecurity and Information Management JCIM 2769-7851 2690-6775 2022 9 2 Lobna Osman Delta Higher Institute for Engineering & Technology, Department of Electronics and Communications Engineering, Egypt. One of the most significant uses of the Internet of Things is military infiltration detection (IoT). Autonomous drones play a major role in IoT-based vulnerability scanning (UVs). By relocating UVs remotely, this work introduces a new algorithm called the Moth-Flame Optimization Algorithm (MFO). In particular, MFO is used to proactively manage UVs under various scenarios and under different intrusion-covering situations. According to actual studies, the suggested algorithm is both profitable and efficient. 2022 31 41 1107 https://creativecommons.org/licenses/by/4.0/ 10.54216/JCIM.090203 https://www.americaspg.com/journal/2/article/1107 https://www.americaspg.com/storage/1914.pdf