Research on Abnormal Detection Method of Network Big Data Flow Based on Track Information
2020 13th International Conference on Intelligent Computation Technology and Automation (ICICTA)(2020)
摘要
In order to solve this problem, a new anomaly detection method based on trajectory information is proposed. The method of sliding window is used to deal with network big data flow, and the data flow is divided into data blocks. The correlation degree of track information is analyzed to extract data flow features. According to the extracted data flow characteristics, the candidate outliers in the s...
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关键词
Correlation,Automation,Databases,Memory,Big Data,Feature extraction,Trajectory
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