UM

Browse/Search Results:  1-3 of 3 Help

Selected(0)Clear Items/Page:    Sort:
A Network Intrusion Detection Approach Based on Asymmetric Convolutional Autoencoder Conference paper
Shujian Ji, Kejiang Ye, Cheng-Zhong Xu. A Network Intrusion Detection Approach Based on Asymmetric Convolutional Autoencoder[C], 2020, 126 - 140.
Authors:  ; et al.
Favorite | TC[Scopus]:7 | Submit date:2022/01/26
Deep Learning  Anomaly Detection  Asymmetric Convolutional Autoencoder  Random Forest  
DAFL: Deep Adaptive Feature Learning for Network Anomaly Detection Conference paper
Shujian Ji, Tongzheng Sun, Kejiang Ye, Wenbo Wang, Cheng-Zhong Xu. DAFL: Deep Adaptive Feature Learning for Network Anomaly Detection[C]. Tang, X., Chen, Q., Bose, P., Zheng, W., Gaudiot, J.-L, 2019, 350-354.
Authors:  Shujian Ji;  Tongzheng Sun;  Kejiang Ye;  Wenbo Wang;  Cheng-Zhong Xu
Favorite | TC[Scopus]:1 | Submit date:2021/09/18
Network Anomaly Detection  Deep Learning  Feature Learning  
CMonitor: A Monitoring and Alarming Platform for Container-Based Clouds Conference paper
Shujian Ji, Kejiang Ye, Cheng-Zhong Xu. CMonitor: A Monitoring and Alarming Platform for Container-Based Clouds[C], 2019, 324-339.
Authors:  Shujian Ji;  Kejiang Ye;  Cheng-Zhong Xu
Favorite | TC[WOS]:10 TC[Scopus]:13 | Submit date:2021/09/18
Container  Monitoring  Alarming  Cloud Computing