An analysis of correlations of intrusion alerts in an NREN

Václav Bartos, M. Zádník
{"title":"An analysis of correlations of intrusion alerts in an NREN","authors":"Václav Bartos, M. Zádník","doi":"10.1109/CAMAD.2014.7033255","DOIUrl":null,"url":null,"abstract":"An ever increasing impact and amount of network attacks have driven many organizations to deploy various network monitoring and analysis systems such as honeypots, intrusion detection systems, log analyzers and flow monitors. Besides improving these systems a logical next step is to collect and correlate alerts from multiple systems distributed across organizations. The idea is to leverage a joint effect of multiple monitoring systems to build a more robust and efficient system, ideally, lacking the shortcomings of the individual contributing systems. This paper presents an analysis of alert reports gathered from several such detectors deployed in national research and education network (NREN). The analysis focuses on the correlations of reported events in temporal domain as well as on the correlations of different event types.","PeriodicalId":111472,"journal":{"name":"2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMAD.2014.7033255","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

An ever increasing impact and amount of network attacks have driven many organizations to deploy various network monitoring and analysis systems such as honeypots, intrusion detection systems, log analyzers and flow monitors. Besides improving these systems a logical next step is to collect and correlate alerts from multiple systems distributed across organizations. The idea is to leverage a joint effect of multiple monitoring systems to build a more robust and efficient system, ideally, lacking the shortcomings of the individual contributing systems. This paper presents an analysis of alert reports gathered from several such detectors deployed in national research and education network (NREN). The analysis focuses on the correlations of reported events in temporal domain as well as on the correlations of different event types.
NREN中入侵警报的相关性分析
网络攻击的影响和数量不断增加,促使许多组织部署各种网络监控和分析系统,如蜜罐、入侵检测系统、日志分析器和流量监视器。除了改进这些系统之外,合乎逻辑的下一步是收集和关联来自分布在组织中的多个系统的警报。这个想法是利用多个监测系统的共同作用,建立一个更强大和更有效的系统,理想情况下,要缺乏单个贡献系统的缺点。本文分析了部署在国家研究和教育网络(NREN)的几个此类探测器所收集的警报报告。分析的重点是报告事件在时间域的相关性以及不同事件类型之间的相关性。
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 求助全文
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:604180095
Book学术官方微信