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Studies of the Technology of Anomaly Detection Based on Data Streams and Its Application
Author: LvYunJie
Tutor: KongYingHui
School: North China Electric Power University (Hebei)
Course: Communication and Information System
Keywords: Data stream Anomaly Detection Mobile wavelet tree Proportional threshold 2-split detector Real-time updates Threshold value setting
CLC: TP393.08
Type: Master's thesis
Year: 2008
Downloads: 89
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Abstract
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In recent years , data flow anomaly detection technology because of its potential applications in the areas of risk analysis , network monitoring , trend analysis , has been more and more attention . The data flow anomaly detection technology , establish a reasonable anomaly detection model , sliding window technology and mobile wavelet tree anomaly detection algorithm for anomaly detection . Data flow anomaly detection algorithm for mobile wavelet tree insufficient improved algorithm : the utilization ratio of the threshold , to improve the detection accuracy ; dichotomous detection technology to reduce the response time ; combination of real-time incremental update technology to better meet real-time requirements ; the improved threshold set method to reduce the rate of false positives . The improved algorithm combined with γ-ray data and power quality disturbances conducted simulation experiments , conducted a comprehensive analysis and evaluation of the test results , anomaly detection algorithm are compared with the original mobile wavelet tree algorithm and error tree , to verify the effectiveness of the algorithm .
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