A Dynamic Intrusion Detection System Capable of Detecting Unknown Attacks

In recent years, deep learning-based network intrusion detection systems (IDS) have shown impressive results in detecting attacks. However, most existing IDS can only recognize known attacks that were included in their training data. When faced with unknown attacks, these systems are often unable to...

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Veröffentlicht in:	International journal of advanced computer science & applications 2023, Vol.14 (7)
Hauptverfasser:	Xing, Na, Zhao, Shuai, Wang, Yuehai, Ning, Keqing, Liu, Xiufeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Categories Classification Deep learning Distillation Intrusion detection systems Machine learning
Online-Zugang:	Volltext
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