2024
DOI: 10.1002/ett.4961
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Coarse and fine feature selection for Network Intrusion Detection Systems (IDS) in IoT networks

Mohammed Sayeeduddin Habeeb,
Tummala Ranga Babu

Abstract: Network Intrusion Detection Systems (NIDSs) are important in safeguarding networks from known and unknown attacks. Many research efforts have recently been made to create NIDS systems based on Machine Learning (ML) methods, addressing a significant challenge in designing standard NIDS the lack of standardized feature sets in the dataset. Given the recent development of the Internet of Things (IoT) in wireless communication, our proposed method introduces a novel solution to enhance intrusion detection systems.… Show more

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Cited by 4 publications
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