Efficient BiSRU Combined With Feature Dimensionality Reduction for Abnormal Traffic Detection

Abnormal traffic detection is an important network security technology to protect computer systems from malicious attacks. Existing detection methods are usually based on traditional machine learning, such as Support Vector Machine (SVM), Naive Bayes, etc. They rely heavily on manual design of traff...

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Veröffentlicht in:	IEEE access 2020, Vol.8, p.164414-164427
Hauptverfasser:	Ding, Pengpeng, Li, Jinguo, Wen, Mi, Wang, Liangliang, Li, Hongjiao
Format:	Artikel
Sprache:	eng
Schlagworte:	Abnormal traffic detection Accuracy BiSRU Communications traffic Cybersecurity Dimensionality reduction Feature extraction Intrusion detection Machine learning Neurons Parallel processing Reduction sSAE Support vector machines Training
Online-Zugang:	Volltext
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