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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Bibliographic Details

Published in:	2021 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS) pp. 78 - 83
Main Authors:	Lee, Jong-Hwa, Kim, Jong-Wouk, Choi, Mi-Jung
Format:	Conference Proceeding
Language:	English
Published:	IEICE 08.09.2021
Subjects:	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 Access:	Get full text
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