Efficient BiSRU Combined With Feature Dimensionality Reduction for Abnormal Traffic Detection

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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Bibliographic Details
Main Authors: Pengpeng Ding, Jinguo Li, Mi Wen, Liangliang Wang, Hongjiao Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Abnormal traffic detection
dimensionality reduction
sSAE
BiSRU
Online Access:https://ieeexplore.ieee.org/document/9187597/

Internet

https://ieeexplore.ieee.org/document/9187597/

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