基于网络处理器的SYN泛洪攻击检测改进算法

Yuli Fu, Yune Lai
{"title":"基于网络处理器的SYN泛洪攻击检测改进算法","authors":"Yuli Fu, Yune Lai","doi":"10.1109/ICASID.2010.5551843","DOIUrl":null,"url":null,"abstract":"This paper presents an improved algorithm for detecting the SYN flooding attacks. The algorithm is based on the characteristics of the network processor IXP2850's hardware and software framework. It improves the typical method that is based on checking the received SYN segments twice from the same source. The improved algorithm will label the segments first, and then verify them to determine whether an attack happens. By this algorithm, the false alarm rate will decrease and the valid defense measures will be done at the right moment.","PeriodicalId":391931,"journal":{"name":"2010 International Conference on Anti-Counterfeiting, Security and Identification","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An improved algorithm for detecting SYN flooding attacks based on network processor\",\"authors\":\"Yuli Fu, Yune Lai\",\"doi\":\"10.1109/ICASID.2010.5551843\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an improved algorithm for detecting the SYN flooding attacks. The algorithm is based on the characteristics of the network processor IXP2850's hardware and software framework. It improves the typical method that is based on checking the received SYN segments twice from the same source. The improved algorithm will label the segments first, and then verify them to determine whether an attack happens. By this algorithm, the false alarm rate will decrease and the valid defense measures will be done at the right moment.\",\"PeriodicalId\":391931,\"journal\":{\"name\":\"2010 International Conference on Anti-Counterfeiting, Security and Identification\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Anti-Counterfeiting, Security and Identification\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASID.2010.5551843\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Anti-Counterfeiting, Security and Identification","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASID.2010.5551843","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

提出了一种改进的SYN泛洪攻击检测算法。该算法基于网络处理器IXP2850的硬件和软件框架的特点。它改进了基于对来自同一源的收到的SYN段进行两次检查的典型方法。改进后的算法将首先标记这些段,然后验证它们以确定是否发生攻击。通过该算法,可以降低误报率,并在适当的时刻采取有效的防御措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved algorithm for detecting SYN flooding attacks based on network processor
This paper presents an improved algorithm for detecting the SYN flooding attacks. The algorithm is based on the characteristics of the network processor IXP2850's hardware and software framework. It improves the typical method that is based on checking the received SYN segments twice from the same source. The improved algorithm will label the segments first, and then verify them to determine whether an attack happens. By this algorithm, the false alarm rate will decrease and the valid defense measures will be done at the right moment.
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