Attack classification of an intrusion detection system using deep learning and hyperparameter optimization

Volume: 58, Pages: 102804 - 102804
Published: May 1, 2021
Abstract
A network intrusion detection system (NIDS) is a solution that mitigates the threat of attacks on a network. The success of a NIDS depends on the success of its algorithm and the performance of its method in recognizing attacks. We propose a deep learning intrusion detection system (IDS) using a pretraining approach with deep autoencoder (PTDAE) combined with a deep neural network (DNN). Models were developed using hyperparameter optimization...
Paper Details
Title
Attack classification of an intrusion detection system using deep learning and hyperparameter optimization
Published Date
May 1, 2021
Volume
58
Pages
102804 - 102804
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