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- W2364005506 abstract "Anomaly detection and analysis based on network traffic are used for network and security management. In this paper,we give a list of 4 kinds of of traffic anomalies and the methods of traffic anomaly detection are presented. Also we give an analysis of the limitations in traditional anomaly detection methods. After that,the research work focus on the traffic anomaly detection methods based on data stream mining. The available research work of data stream mining methods for anomaly detection and analysis are summarized. Finaly,we discuss the open problems and challenges in this area." @default.
- W2364005506 created "2016-06-24" @default.
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- W2364005506 date "2009-01-01" @default.
- W2364005506 modified "2023-09-27" @default.
- W2364005506 title "Research on Anomaly Detection and Analysis of Network Traffic Based on Data Stream Mining" @default.
- W2364005506 hasPublicationYear "2009" @default.
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