An Effective Deep Learning Based Scheme for Network Intrusion Detection

Intrusion detection systems (IDS) play an important role in the protection of network operations and services. In this paper, we propose an effective network intrusion detection scheme based on deep learning techniques. The proposed scheme employs a denoising autoencoder (DAE) with a weighted loss f...

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Bibliographic Details

Published in:	2018 24th International Conference on Pattern Recognition (ICPR) pp. 682 - 687
Main Authors:	Zhang, Hongpo, Wu, Chase Q., Gao, Shan, Wang, Zongmin, Xu, Yuxiao, Liu, Yongpeng
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.08.2018
Subjects:	deep learning denoising autoen-coder Engines Feature extraction feature selection Hidden Markov models Intrusion detection Intrusion detection system Noise reduction Training
Online Access:	Get full text
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