Poster Abstract: Real-Time DDoS Detection Based on Complex Event Processing for IoT

Adeilson Marques da Silva Cardoso, R. Lopes, A. Teles, F. B. V. Magalhaes
{"title":"Poster Abstract: Real-Time DDoS Detection Based on Complex Event Processing for IoT","authors":"Adeilson Marques da Silva Cardoso, R. Lopes, A. Teles, F. B. V. Magalhaes","doi":"10.1109/IoTDI.2018.00036","DOIUrl":null,"url":null,"abstract":"With the Internet of Things expansion, there has been an increase in the development of services and applications that use context-aware devices incorporated into smart environments. Those devices produce large quantities of data and demand faster and more precise defense mechanisms. Complex Event Processing (CEP) is an emerging and promising technology that allows real-time analysis of continuous data-steams. In this work, we proposed and developed a DDoS (Distributed Denial of Service) detection system and evaluated its performance running on a Raspberry Pi. The results show that the system can be executed on devices with reduced computational power and that CEP is a viable solution to improve the real-time performance on the detection of DDoS attacks on IoT environments.","PeriodicalId":92227,"journal":{"name":"IoTDI 2017 : 2017 IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation : proceedings : 18-20 April 2017, Pittsburgh, Pennsylvania, USA. IoTDI (Conference) (2nd : 2017 : Pittsburgh, Pa.)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IoTDI 2017 : 2017 IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation : proceedings : 18-20 April 2017, Pittsburgh, Pennsylvania, USA. IoTDI (Conference) (2nd : 2017 : Pittsburgh, Pa.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IoTDI.2018.00036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

With the Internet of Things expansion, there has been an increase in the development of services and applications that use context-aware devices incorporated into smart environments. Those devices produce large quantities of data and demand faster and more precise defense mechanisms. Complex Event Processing (CEP) is an emerging and promising technology that allows real-time analysis of continuous data-steams. In this work, we proposed and developed a DDoS (Distributed Denial of Service) detection system and evaluated its performance running on a Raspberry Pi. The results show that the system can be executed on devices with reduced computational power and that CEP is a viable solution to improve the real-time performance on the detection of DDoS attacks on IoT environments.
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
摘要:基于物联网复杂事件处理的实时DDoS检测
随着物联网的扩展,在智能环境中使用上下文感知设备的服务和应用程序的开发有所增加。这些设备会产生大量数据,需要更快、更精确的防御机制。复杂事件处理(CEP)是一种新兴的、有前途的技术,它允许对连续数据流进行实时分析。在这项工作中,我们提出并开发了一个DDoS(分布式拒绝服务)检测系统,并评估了其在树莓派上运行的性能。结果表明,该系统可以在计算能力较低的设备上执行,CEP是提高物联网环境下DDoS攻击检测实时性的可行解决方案。
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
Frontmatter IoTDI '21: International Conference on Internet-of-Things Design and Implementation, Virtual Event / Charlottesville, VA, USA, May 18-21, 2021 Poster Abstract: Real-Time DDoS Detection Based on Complex Event Processing for IoT SeleCon: Scalable IoT Device Selection and Control Using Hand Gestures.
×
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