Volume 9 , Issue 2 , PP: 31-41, 2022 | Cite this article as | XML | Html | PDF | Full Length Article
Lobna Osman 1 *
Doi: https://doi.org/10.54216/JCIM.090203
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.
Internet of Things (IoT) , Spatial coverage , Intrusion Detection , Moth-Flame Optimization , Metaheuristic
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