{"title":"捕获全局Kad查找流量","authors":"Zhibo Liu, Qiang Li","doi":"10.1109/ICSESS.2016.7883199","DOIUrl":null,"url":null,"abstract":"Kad is the most popular P2P file sharing system. It is very difficult to capture all the users' lookup traffic because of its full distributed feature. Previous work could only monitors a subset of the lookup traffic. In this paper, we propose a lightweight method to monitor the global lookup traffic by inserting two ‘nearest neighbor’ peers into the peer at the last iteration of Kad lookup path. Since one of the inserted peer is closer than the last peer definitely, the user's search request would be redirected to the trap node. The experiment performed on eMule0.50a shows that this approach could capture most lookup traffic.","PeriodicalId":175933,"journal":{"name":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Capture global Kad lookup traffic\",\"authors\":\"Zhibo Liu, Qiang Li\",\"doi\":\"10.1109/ICSESS.2016.7883199\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Kad is the most popular P2P file sharing system. It is very difficult to capture all the users' lookup traffic because of its full distributed feature. Previous work could only monitors a subset of the lookup traffic. In this paper, we propose a lightweight method to monitor the global lookup traffic by inserting two ‘nearest neighbor’ peers into the peer at the last iteration of Kad lookup path. Since one of the inserted peer is closer than the last peer definitely, the user's search request would be redirected to the trap node. The experiment performed on eMule0.50a shows that this approach could capture most lookup traffic.\",\"PeriodicalId\":175933,\"journal\":{\"name\":\"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS.2016.7883199\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2016.7883199","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

Kad是最流行的P2P文件共享系统。由于其完整的分布式特性,很难捕获所有用户的查找流量。以前的工作只能监视查找流量的一个子集。在本文中,我们提出了一种轻量级的方法,通过在Kad查找路径的最后一次迭代时向对等体中插入两个“最近邻”对等体来监控全局查找流量。由于插入的对等体中肯定有一个比最后一个更近,因此用户的搜索请求将被重定向到trap节点。在eMule0.50a上进行的实验表明,这种方法可以捕获大多数查找流量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Capture global Kad lookup traffic
Kad is the most popular P2P file sharing system. It is very difficult to capture all the users' lookup traffic because of its full distributed feature. Previous work could only monitors a subset of the lookup traffic. In this paper, we propose a lightweight method to monitor the global lookup traffic by inserting two ‘nearest neighbor’ peers into the peer at the last iteration of Kad lookup path. Since one of the inserted peer is closer than the last peer definitely, the user's search request would be redirected to the trap node. The experiment performed on eMule0.50a shows that this approach could capture most lookup traffic.
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
期刊最新文献
Web crawler model of fetching data speedily based on Hadoop distributed system Decision support for global software development with pattern discovery The model of network security situation assessment based on random forest Optimization WIFI indoor positioning KNN algorithm location-based fingerprint A new identity authentication scheme of single sign on for multi-database
×
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