Feature analysis for machine learning-based IoT intrusion detection

M Sarhan, S Layeghy, M Portmann - arXiv preprint arXiv:2108.12732, 2021 - arxiv.org
Internet of Things (IoT) networks have become an increasingly attractive target of
cyberattacks. Powerful Machine Learning (ML) models have recently been adopted to …
被引用次数：49 相关文章
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[PDF][PDF] Feature Analysis for Machine Learning-based IoT Intrusion Detection

M Sarhan, S Layeghy, M Portmann - scholar.archive.org
Abstract Internet of Things (IoT) networks have become an increasingly attractive target of
cyberattacks. Powerful Machine Learning (ML) models have recently been adopted in the …

Feature Analysis for Machine Learning-based IoT Intrusion Detection

M Sarhan, S Layeghy, M Portmann - 2022 - researchsquare.com
Abstract Internet of Things (IoT) networks have become an increasingly attractive target of
cyberat-tacks. Powerful Machine Learning (ML) models have recently been adopted in the …

Feature Analysis for Machine Learning-based IoT Intrusion Detection

M Sarhan, S Layeghy, M Portmann - 2022 - europepmc.org
Internet of Things (IoT) networks have become an increasingly attractive target of cyberat-
tacks. Powerful Machine Learning (ML) models have recently been adopted in the …

Feature Analysis for Machine Learning-based IoT Intrusion Detection

M Sarhan, S Layeghy, M Portmann - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Abstract Internet of Things (IoT) networks have become an increasingly attractive target of
cyberattacks. Powerful Machine Learning (ML) models have recently been adopted to …