Network intrusion detection based on Contractive Sparse Stacked Denoising Autoencoder

The rapid growth of network scale leads to the increasingly prominent network security problems. Intrusion detection is an important method to resist complex and growing network attacks. For traditional shallow intrusion detection methods can not effectively identify and classify network intrusion d...

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Veröffentlicht in:	IEEE International Symposium on Broadband Multimedia Systems and Broadcasting S. 1 - 6
Hauptverfasser:	Lu, Jizhao, Meng, Huiping, Li, Wencui, Liu, Yue, Guo, Yihao, Yang, Yang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 04.08.2021
Schlagworte:	autoencoder Broadcasting characteristic dimension reduction Data models intrusion detection Network intrusion detection Network security Noise reduction Resists Robustness softmax sparse denoising
ISSN:	2155-5052
Online-Zugang:	Volltext
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