基于方差的小波流量检测

Zhang Yi, Mei Ting
{"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}
引用次数: 0

摘要

本文详细介绍了基于小波变换的异常检测技术的实现原理和检测模块,实验结果表明它是一种有效的交通异常检测方法。还可以区分正常突发流量和攻击流量,提高了报警的准确性。但该方法时间复杂度较低,也适用于大流量的数据处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wavelet Traffic Detection Based on Variance
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信