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基于滑动时间窗的置信区间流量异常检测算法研究 被引量:1

Algorithm Research on Anomaly Detection Confidence Interval Flow Based on Sliding Time Window
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摘要 针对网络流量异常,提出了一种滑动时间窗的置信区间的方法,该算法可以有效地对网络异常流量进行检测,给出安全警告. This paper provides a method of network traffic anomaly,the confidence interval of a sliding time window,and holds that a change of the algorithm can effectively detect the network traffic anomaly,given the security warning.It also gives the algorithm steps,and hopes the detection accuracy of abnormal traffic is greatly improved
出处 《重庆三峡学院学报》 2013年第3期46-48,共3页 Journal of Chongqing Three Gorges University
基金 四川省教育厅自然科学青年基金(11ZB173)阶段性成果
关键词 流量异常 置信区间 算法 network anomaly confidence interval algorithm
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