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An Autoencoder-Enhanced Stacking Neural Network Model for Increasing the Performance of Intrusion Detection Cover

An Autoencoder-Enhanced Stacking Neural Network Model for Increasing the Performance of Intrusion Detection

Open Access
|Feb 2022

Authors

Csaba Brunner

Department of Information Systems, Corvinus University of Budapest, Budapest, Hungary

Andrea Kő

Department of Information Systems, Corvinus University of Budapest, Budapest, Hungary

Szabina Fodor

szabina.fodor@uni-corvinus.hu

Department of Computer Science, Corvinus University of Budapest, Budapest, Hungary
Language: English
Page range: 149 - 163
Submitted on: Dec 15, 2021
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Accepted on: Jan 30, 2022
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Published on: Feb 23, 2022
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Csaba Brunner, Andrea Kő, Szabina Fodor, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.