{"title":"基于方差的小波流量检测","authors":"Zhang Yi, Mei Ting","doi":"10.1109/ICMTMA.2015.348","DOIUrl":null,"url":null,"abstract":"This paper introduces in detail the realization principle and detection module, anomaly detection technology based on wavelet transform, the experimental results show that it is a effective method to detect traffic anomaly. But also can distinguish normal burst traffic and attack traffic, which improves the accuracy of alarm. But this method lower time complexity is also suitable for large flow of data processing.","PeriodicalId":196962,"journal":{"name":"2015 Seventh International Conference on Measuring Technology and Mechatronics Automation","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Wavelet Traffic Detection Based on Variance\",\"authors\":\"Zhang Yi, Mei Ting\",\"doi\":\"10.1109/ICMTMA.2015.348\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces in detail the realization principle and detection module, anomaly detection technology based on wavelet transform, the experimental results show that it is a effective method to detect traffic anomaly. But also can distinguish normal burst traffic and attack traffic, which improves the accuracy of alarm. But this method lower time complexity is also suitable for large flow of data processing.\",\"PeriodicalId\":196962,\"journal\":{\"name\":\"2015 Seventh International Conference on Measuring Technology and Mechatronics Automation\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Seventh International Conference on Measuring Technology and Mechatronics Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMTMA.2015.348\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Seventh International Conference on Measuring Technology and Mechatronics Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMTMA.2015.348","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper introduces in detail the realization principle and detection module, anomaly detection technology based on wavelet transform, the experimental results show that it is a effective method to detect traffic anomaly. But also can distinguish normal burst traffic and attack traffic, which improves the accuracy of alarm. But this method lower time complexity is also suitable for large flow of data processing.