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Author: search.filters.author.Moussa Mahamat BoukarSubject: search.filters.subject.Machine Learning

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    Network Intrusion Detection using a Hybridized Harmony Search and Random Forest
    (International Conference on Multidisciplinary Engineering and Applied Science, 2023-02-02) Nurudeen M. Ibrahim; Moussa Mahamat Boukar
    Intrusion Detection Systems are used to find security holes in a system. However, a number of factors, including irrelevant information, contribute to intrusion detection system's low detection accuracy. This work presents a hybrid intrusion detection system (IDS) that combines the Random Forest algorithm and Harmony Search to address this issue and increase IDS detection accuracy. The proposed method was analyzed using NSL-KDD, and the experiment results show that the model functions effectively.