受害者的日常行为影响DDoS攻击的数量:来自荷兰教育网的证据

Abhishta Abhishta, M. Junger, R. Joosten, L. Nieuwenhuis
{"title":"受害者的日常行为影响DDoS攻击的数量:来自荷兰教育网的证据","authors":"Abhishta Abhishta, M. Junger, R. Joosten, L. Nieuwenhuis","doi":"10.1109/SPW.2019.00052","DOIUrl":null,"url":null,"abstract":"We study the influence of daily routines of Dutch academic institutions on the number of DDoS attacks targeting their infrastructures. We hypothesise that the attacks are motivated and harness the postulates of Routine Activity Theory (RAT) from criminology to analyse the data. We define routine periods in order to group days with similar activities and use 2.5 years of NetFlow alerts data measured by SURFnet to compare the number of alerts generated during each of these periods. Our analysis shows clear correlation between academic schedules and attack patterns on academic institutions. This leads us to believe that most of these attacks are not random and are initiated by someone who might benefit by disrupting scheduled educational activities.","PeriodicalId":125351,"journal":{"name":"2019 IEEE Security and Privacy Workshops (SPW)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Victim Routine Influences the Number of DDoS Attacks: Evidence from Dutch Educational Network\",\"authors\":\"Abhishta Abhishta, M. Junger, R. Joosten, L. Nieuwenhuis\",\"doi\":\"10.1109/SPW.2019.00052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We study the influence of daily routines of Dutch academic institutions on the number of DDoS attacks targeting their infrastructures. We hypothesise that the attacks are motivated and harness the postulates of Routine Activity Theory (RAT) from criminology to analyse the data. We define routine periods in order to group days with similar activities and use 2.5 years of NetFlow alerts data measured by SURFnet to compare the number of alerts generated during each of these periods. Our analysis shows clear correlation between academic schedules and attack patterns on academic institutions. This leads us to believe that most of these attacks are not random and are initiated by someone who might benefit by disrupting scheduled educational activities.\",\"PeriodicalId\":125351,\"journal\":{\"name\":\"2019 IEEE Security and Privacy Workshops (SPW)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Security and Privacy Workshops (SPW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPW.2019.00052\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Security and Privacy Workshops (SPW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPW.2019.00052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

我们研究了荷兰学术机构的日常工作对针对其基础设施的DDoS攻击数量的影响。我们假设这些攻击是有动机的,并利用犯罪学的常规活动理论(RAT)的假设来分析数据。我们定义了常规周期,以便对具有类似活动的天数进行分组,并使用由SURFnet测量的2.5年NetFlow警报数据来比较每个周期产生的警报数量。我们的分析表明,学术时间表和对学术机构的攻击模式之间存在明显的相关性。这使我们相信,大多数这些攻击不是随机的,并且是由可能通过破坏预定的教育活动而受益的人发起的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Victim Routine Influences the Number of DDoS Attacks: Evidence from Dutch Educational Network
We study the influence of daily routines of Dutch academic institutions on the number of DDoS attacks targeting their infrastructures. We hypothesise that the attacks are motivated and harness the postulates of Routine Activity Theory (RAT) from criminology to analyse the data. We define routine periods in order to group days with similar activities and use 2.5 years of NetFlow alerts data measured by SURFnet to compare the number of alerts generated during each of these periods. Our analysis shows clear correlation between academic schedules and attack patterns on academic institutions. This leads us to believe that most of these attacks are not random and are initiated by someone who might benefit by disrupting scheduled educational activities.
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