Enhancing the Intrusion Detection Efficiency using a Partitioning-based Recursive Feature Elimination in Big Cloud Environment

In the era of cloud computing, the effectiveness of utilizing supervised machine-learning-based intrusion detection models for categorizing and detecting malicious network attacks depends on the preparation, extraction, and selection of the optimal subset of features from the dataset. Therefore, bef...

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Veröffentlicht in:	International journal of advanced computer science & applications 2023, Vol.14 (1)
Hauptverfasser:	Elmasry, Hesham M., Khedr, Ayman E., Abdelkader, Hatem M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Cloud computing Cybersecurity Datasets Decision trees Feature extraction Intrusion detection systems Machine learning Partitioning Supervised learning Support vector machines Training
Online-Zugang:	Volltext
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