Network Traffic Anomaly Detection Method Based on Multi-scale Memory Residual Network

Network Traffic Anomaly Detection Method Based on Multi-scale Memory Residual Network

Network traffic anomaly detection based on deep learning usually has the problems of poor adaptability to real-world environments,limited representation ability and week generalization ability.From the perspective of these problems,a network traffic anomaly detection method based on multi-scale memo...

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Bibliographic Details
Main Author: WANG Xin-tong, WANG Xuan, SUN Zhi-xin
Format: Article
Language:zho
Published: Editorial office of Computer Science 2022-08-01
Series:Jisuanji kexue
Subjects:
network traffic anomaly detection|multi-scale memory residual network|multi-scale one-dimensional convolution|long short-term memory network|residual network|network intrusion detection
Online Access:https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-8-314.pdf

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https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-8-314.pdf

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