%0 Journal Article
%A QUI Xue-song
%A SONG Yan-bin
%A XU Si-ya
%A ZHANG Xun
%A ZHAO Bing
%T Two-Stage Traffic Anomaly Detection Method Based on Entropy and Linear Relation
%D 2018
%R 10.13190/j.jbupt.2017-257
%J Journal of Beijing University of Posts and Telecommunications
%P 56-62
%V 41
%N 4
%X To improve the accuracy and real-time traffic anomaly detection methods, a two-stage traffic anomaly detection method based on entropy and linear relation was presented. A two-level dynamic threshold was set and used based on entropy and linear relation to detect abnormal traffic in time domain. The type of traffic anomaly can be indentified through the alarm trigger function. Simulations verify that this method is superior to the existing methods in the accuracy and real-time respects.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2017-257