This paper introduces an Intrusion Detection System (IDS) designed to enhance security in expansive IoT networks. The proposed IDS leverages one of thee most popular Machine Learning method with a modified Arithmetic Optimization Algorithm (AOA) to identify the optimal feature set and deal with the binary nature of this optimization problem. This set of features is then employed utilizing the K-Nearest Neighbors Algorithm. Our study utilized a dataset, called BotIoT2018. Notably from the results, the proposed IDS using the modified AOA demonstrated a remarkably precise and resilient detection model tailored for IoT networks.
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Makhadmeh et al. (2024) studied this question.
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