Journal of Cybersecurity and Information Management
JCIM
2690-6775
2769-7851
10.54216/JCIM
https://www.americaspg.com/journals/show/1107
2019
2019
An Intelligent Spatial Military Intrusion Detection using Reactive Mobility Unmanned Vehicles Based on IoT and metaheuristic Optimization Algorithm
Delta Higher Institute for Engineering & Technology, Department of Electronics and Communications Engineering, Egypt.
Lobna
Lobna
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
2022
31
41
10.54216/JCIM.090203
https://www.americaspg.com/articleinfo/2/show/1107