一种检测网络异常的小波方法A Wavelet-based Method for Detecting Network Anomaly
郭永宁,邹柏贤,姚志强
摘要(Abstract)：
提出一种基于小波分析与自回归模型的检测方法 ,并应用它来分析模拟实验环境中收集的时间序列 .实验结果表明该方法是可行与有效的 ,而且优于泛化似然比检验法 ( GLR)
关键词(KeyWords)： 离散不变性小波变换;AR异常检测法;网络异常
基金项目(Foundation): 福建省自然科学基金资助项目 ( A0 2 10 0 16 )
作者(Author): 郭永宁,邹柏贤,姚志强
参考文献(References)：
- [1]MaxionR A,FeatherF E.A case study of ethernet anomalies in a distributed computing environment[J].IEEETransaction onReliability,1990,39(4):433-443.
- [2]HoL L,CavutoD J,PapavassiliouS,et al..Adaptive and automated detection of service anomalies in transaction-orientedWAN's:network analysis,algorithms,implementation,and deployment[J].IEEE Journal ofSeletectedAreas inCommunications,2000,18(5):744-757.
- [3]ThottanM,JiC Y.Statistical detection of enterprise network problem[J].Journal ofNetwork andSystemsManagement,1999,7(1):27-45.
- [4]Alarcon-AquioV,BarriaJA.Anomaly detection in communication networks using wavelet[J].IEE Proceeding-Communication,2001,148(6):355-362.
- [5]HuangPolly,FeldmannA,WillingerW.A non-intrusive wavelet-based approach to detecting network performanceproblems[DB/OL]..http://citeseer.nj.nec.com/huang01 nontrusive.html,2001-11-15.
- [6]NassehiM.Anomaly detection forMarkov models[R ].Switzerland:IBM ResearchDivision,ZurichResearchLaboratory,8803Ruschlikon,1998.
- [7]MallatS.A WaveletTour ofSignalProcessing(2 nd edn)[M].NewYork:AcadmicPress,1999.79-80