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    ARTICLE

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

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

    CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.3, pp. 1053-1091, 2021, DOI:10.32604/cmes.2021.013045

    Abstract In recent years, with the continuous development of information technology and the rapid growth of network scale, network monitoring and management become more and more important. Network traffic is an important part of network state. In order to ensure the normal operation of the network, improve the availability of the network, find network faults in time and deal with network attacks; it is necessary to detect the abnormal traffic in the network. Abnormal traffic detection is of great significance in the actual network management. Therefore, in order to improve the accuracy and efficiency of network traffic anomaly detection, this paper… More >

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