Search alternatives:
traffic classification » protein classification (Expand Search), taxonomic classification (Expand Search), automatic classification (Expand Search)
based optimization » whale optimization (Expand Search)
data traffic » air traffic (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary wave » binary image (Expand Search)
wave based » made based (Expand Search), game based (Expand Search), rate based (Expand Search)
traffic classification » protein classification (Expand Search), taxonomic classification (Expand Search), automatic classification (Expand Search)
based optimization » whale optimization (Expand Search)
data traffic » air traffic (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary wave » binary image (Expand Search)
wave based » made based (Expand Search), game based (Expand Search), rate based (Expand Search)
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Related studies on IDS using deep learning.
Published 2024“…The model’s binary and multi-class classification accuracies on the UNSW-NB15 dataset are 99.56% and 99.45%, respectively. …”
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The architecture of the BI-LSTM model.
Published 2024“…The model’s binary and multi-class classification accuracies on the UNSW-NB15 dataset are 99.56% and 99.45%, respectively. …”
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Comparison of accuracy and DR on UNSW-NB15.
Published 2024“…The model’s binary and multi-class classification accuracies on the UNSW-NB15 dataset are 99.56% and 99.45%, respectively. …”
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Comparison of DR and FPR of UNSW-NB15.
Published 2024“…The model’s binary and multi-class classification accuracies on the UNSW-NB15 dataset are 99.56% and 99.45%, respectively. …”