SSAE - DeepCNN Model for Network Intrusion Detection

Many people can use user-friendly internet services due to the development of IT and communication technologies. However, attackers perform attacks such as malware injection, DoS/DDoS, and system hacking to threaten end devices, personal information, and organizational assets. Security experts use a...

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Bibliographische Detailangaben

Veröffentlicht in:	2021 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS) S. 78 - 83
Hauptverfasser:	Lee, Jong-Hwa, Kim, Jong-Wouk, Choi, Mi-Jung
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEICE 08.09.2021
Schlagworte:	Data models Deep learning DeepCNN Feature extraction IDS Network intrusion detection Semi-supervised learning Semisupervised learning Sparsity SSAE Training Training data Web and internet services
Online-Zugang:	Volltext
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