A simple statistical analysis approach for Intrusion Detection System

A. A. Waskita, H. Suhartanto, P. D. Persadha, L. T. Handoko
{"title":"A simple statistical analysis approach for Intrusion Detection System","authors":"A. A. Waskita, H. Suhartanto, P. D. Persadha, L. T. Handoko","doi":"10.1109/SPC.2013.6735130","DOIUrl":null,"url":null,"abstract":"A novel approach to analyze statistically the network traffic raw data is proposed. The huge amount of raw data of actual network traffic from the Intrusion Detection System is analyzed to determine if a traffic is a normal or harmful one. Using the active ports in each host in a network as sensors, the system continuously monitors the incoming packets, and generates its average behaviors at different time scales including its variances. The average region of behaviors at certain time scale is then being used as the baseline of normal traffic. Deploying the exhaustive search based decission system, the system detects the incoming threats to the whole network under supervision.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPC.2013.6735130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

A novel approach to analyze statistically the network traffic raw data is proposed. The huge amount of raw data of actual network traffic from the Intrusion Detection System is analyzed to determine if a traffic is a normal or harmful one. Using the active ports in each host in a network as sensors, the system continuously monitors the incoming packets, and generates its average behaviors at different time scales including its variances. The average region of behaviors at certain time scale is then being used as the baseline of normal traffic. Deploying the exhaustive search based decission system, the system detects the incoming threats to the whole network under supervision.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
入侵检测系统的简单统计分析方法
提出了一种统计分析网络流量原始数据的新方法。入侵检测系统通过分析来自实际网络流量的大量原始数据来判断流量是正常的还是有害的。系统将网络中每台主机上的活动端口作为传感器,对进入网络的数据包进行持续监控,并生成其在不同时间尺度上的平均行为及其方差。在一定的时间尺度上,行为的平均区域被用作正常流量的基线。该系统采用基于穷举搜索的决策系统,在监控下对整个网络的威胁进行检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Adaptive intelligent spider robot A simple statistical analysis approach for Intrusion Detection System The Brain function index as a depth of anesthesia indicator using complexity measures Optimization of nth order square linear controller in the realm of describing function approach for nonlinear multivariable square system Performance analysis of wavelet transforms for leakage detection in long range pipeline networks
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1