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Traffic Anomaly Detection Method Based on Improved GRU and EFMS-Kmeans Clustering

Yonghua Huo1, Yi Cao2, Zhihao Wang1, Yu Yan3, Zhongdi Ge3, Yang Yang3,*

1 Science and Technology on Communication Networks Laboratory, The 54th Research Institute of CETC, Shijiazhuang, China
2 Department of Military Representative Office of General Military Equipment Development Shijiazhuang, Shijiazhuang, China
3 State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China

* Corresponding Author: Yang Yang. Email: email

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