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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Veröffentlicht in:	2018 24th International Conference on Pattern Recognition (ICPR) S. 682 - 687
Hauptverfasser:	Zhang, Hongpo, Wu, Chase Q., Gao, Shan, Wang, Zongmin, Xu, Yuxiao, Liu, Yongpeng
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2018
Schlagworte:	deep learning denoising autoen-coder Engines Feature extraction feature selection Hidden Markov models Intrusion detection Intrusion detection system Noise reduction Training
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