End-to-End Privacy for Identity & Location with IP

S. Bhatti, Gregor Haywood, Ryo Yanagida
{"title":"End-to-End Privacy for Identity & Location with IP","authors":"S. Bhatti, Gregor Haywood, Ryo Yanagida","doi":"10.1109/ICNP52444.2021.9651909","DOIUrl":null,"url":null,"abstract":"We describe protocol features to provide both Identity Privacy and Location Privacy at the network layer that are truly end-to-end, strengthening the trust model by constraining the boundary of trust to only the communicating parties. We show that Identity Privacy and Location Privacy can be provided by changing only the addressing model, whilst still remaining compatible with IPv6. Using the Identifier-Locator Network Protocol (ILNP), it is possible to use ephemeral end-system ILNP Node Identity (NID) values to improve identity privacy. Using the ILNP Locator values with dynamic bindings, it is possible to use multiple IPv6 routing prefixes as network Locator (L64) values to provide (topological) location privacy. This is achieved: (a) whilst maintaining end-to-end state for transport protocols, without proxies, tunnels, or gateways at the transport layer or application layer; and (b) without the use of cryptographic techniques, so performance is not impacted.","PeriodicalId":343813,"journal":{"name":"2021 IEEE 29th International Conference on Network Protocols (ICNP)","volume":"322 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 29th International Conference on Network Protocols (ICNP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNP52444.2021.9651909","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

We describe protocol features to provide both Identity Privacy and Location Privacy at the network layer that are truly end-to-end, strengthening the trust model by constraining the boundary of trust to only the communicating parties. We show that Identity Privacy and Location Privacy can be provided by changing only the addressing model, whilst still remaining compatible with IPv6. Using the Identifier-Locator Network Protocol (ILNP), it is possible to use ephemeral end-system ILNP Node Identity (NID) values to improve identity privacy. Using the ILNP Locator values with dynamic bindings, it is possible to use multiple IPv6 routing prefixes as network Locator (L64) values to provide (topological) location privacy. This is achieved: (a) whilst maintaining end-to-end state for transport protocols, without proxies, tunnels, or gateways at the transport layer or application layer; and (b) without the use of cryptographic techniques, so performance is not impacted.
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
端到端隐私的身份和位置与IP
我们描述了协议特性,以在网络层提供真正的端到端身份隐私和位置隐私,通过将信任边界约束到仅通信方来加强信任模型。我们表明,身份隐私和位置隐私可以通过仅更改寻址模型来提供,同时仍然与IPv6兼容。使用标识-定位网络协议(ILNP),可以使用短暂的终端系统ILNP节点身份(NID)值来提高身份隐私。使用动态绑定的ILNP定位器值,可以使用多个IPv6路由前缀作为网络定位器(L64)值来提供(拓扑)位置隐私。实现这一点:(a)同时保持传输协议的端到端状态,在传输层或应用层没有代理、隧道或网关;(b)不使用加密技术,因此性能不会受到影响。
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
Exploiting WiFi AP for Simultaneous Data Dissemination among WiFi and ZigBee Devices Highway On-Ramp Merging for Mixed Traffic: Recent Advances and Future Trends Generalizable and Interpretable Deep Learning for Network Congestion Prediction DNSonChain: Delegating Privacy-Preserved DNS Resolution to Blockchain ISP Self-Operated BGP Anomaly Detection Based on Weakly Supervised Learning
×
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