An Effective Convolutional Neural Network Based on SMOTE and Gaussian Mixture Model for Intrusion Detection in Imbalanced Dataset

Title
An Effective Convolutional Neural Network Based on SMOTE and Gaussian Mixture Model for Intrusion Detection in Imbalanced Dataset
Authors
Keywords
Network intrusion detection, Deep learning, Class imbalance, Gaussian mixture model, Convolutional neural network
Journal
Computer Networks
Volume -, Issue -, Pages 107315
Publisher
Elsevier BV
Online
2020-05-17
DOI
10.1016/j.comnet.2020.107315

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