Yahya Alhaj Maz on Muck Rack

Yahya Alhaj Maz

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Majority Voting Ensemble Classifier for Detecting Keylogging Attack on Internet of Things

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By Mohammed Anbar, Selvakumar Manickam, Basim Ahmad Alabsi, Yahya Alhaj Maz
| IEEE
In [20], the goal of this study for authors was to improve IDS’s performance. They set up a binary system for classifying normal IoT traffic and abnormal traffic. They used a bunch of different supervised machine-learning algorithms as well as ensemble classifiers. Their model was trained on datasets called TON_IoT. They used the following classifiers: Random Forest (RF), decision tree (DT), logistic regression (LR), and K-nearest neighbor (KNN).
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