Recent review of Distributed Denial of Service Attacks in the Internet of Things

Hubert Djuitcheu, Maik Debes, Matthias Aumüller, J. Seitz
{"title":"Recent review of Distributed Denial of Service Attacks in the Internet of Things","authors":"Hubert Djuitcheu, Maik Debes, Matthias Aumüller, J. Seitz","doi":"10.1109/ciot53061.2022.9766655","DOIUrl":null,"url":null,"abstract":"The use of the Internet of Things (IoT) in almost all domains nowadays makes it the network of the future. Due to the high attention since its creation, this network is the target of numerous attacks of different purpose and nature, of which one of the most perpetrated and virulent is the distributed denial of services (DDoS) attack. This article reviews the different security requirements and some of the attacks within IoT networks. It then focuses on DDoS attacks on the IoT and summarizes some methods of countermeasures for this attack, from the oldest to the most recent ones. Based on this study, it seems that the benefits of machine learning (ML) and deep learning (DL) combined with other technologies such as software defined networking (SDN) are very promising approaches against DDoS attacks.","PeriodicalId":180813,"journal":{"name":"2022 5th Conference on Cloud and Internet of Things (CIoT)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th Conference on Cloud and Internet of Things (CIoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ciot53061.2022.9766655","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

The use of the Internet of Things (IoT) in almost all domains nowadays makes it the network of the future. Due to the high attention since its creation, this network is the target of numerous attacks of different purpose and nature, of which one of the most perpetrated and virulent is the distributed denial of services (DDoS) attack. This article reviews the different security requirements and some of the attacks within IoT networks. It then focuses on DDoS attacks on the IoT and summarizes some methods of countermeasures for this attack, from the oldest to the most recent ones. Based on this study, it seems that the benefits of machine learning (ML) and deep learning (DL) combined with other technologies such as software defined networking (SDN) are very promising approaches against DDoS attacks.
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
物联网中分布式拒绝服务攻击的最新综述
如今,物联网(IoT)在几乎所有领域的使用使其成为未来的网络。由于其创建以来的高度关注,该网络是许多不同目的和性质的攻击的目标,其中最常见和最致命的攻击之一是分布式拒绝服务(DDoS)攻击。本文回顾了不同的安全需求和物联网网络中的一些攻击。然后重点介绍了针对物联网的DDoS攻击,并总结了针对这种攻击的一些对策方法,从最古老的到最新的。基于这项研究,机器学习(ML)和深度学习(DL)与软件定义网络(SDN)等其他技术相结合的好处似乎是对抗DDoS攻击的非常有前途的方法。
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
Simulating Distributed Wireless Sensor Networks for Edge-AI MPaS: A Micro-services based Publish/Subscribe Middleware System Model for IoT Towards a Cloud-Native 5G Service Chaining for IoT and Video Analytics in Smart Campus Transforming Deep Learning Models for Resource-Efficient Activity Recognition on Mobile Devices Cache Optimization Strategy for Mobile Edge Computing in Maritime IoT
×
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