基于统计和时序分析的网络异常检测

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1、withonemoresensitivetothechangeofthenewcomingdataandanothernot.Theapproachthree-MACDindicatorapproachisliketheKDapproachbutmoreblunttotheunusualfluctuationofnetworktrafficwhichcansubmitanalarmmorecorrectly.Ourexperimentresultfinallydemonstratetheeffect

2、ivenessofourapproach.KeyWord:NetworkAnomalyDetection,EMalgorism,GaussianMixtureModel,KandDindicatorapproach,MACD(MovingAverageConvergenceandDivergence),TimeSeriesAnalysis目录第一章绪论...........................................................................

3、......................................................11.1研究背景.........................................................................................................................11.1.1网络安全...........................................................

4、.............................................................11.1.2网络流量异常分类........................................................................................................21.1.3网络异常检测主要方法.........................................................

5、.......................................31.2研究目标.........................................................................................................................41.3论文结构............................................................................

6、.............................................4第二章网络异常检测系统的设计与实现.................................................................................62.1计算机网络的发展................................................................................................

7、.........62.2计算机网络异常检测系统的发展与应用.....................................................................82.2.1统计方法........................................................................................................................92.2.2神经网络.............

8、...........................................................................................................92.2.3模式预测.......................................................................................................................