Privacy-Preserving Positioning in Wi-Fi Fine Timing Measurement

Domien Schepers, Aanjhan Ranganathan
{"title":"Privacy-Preserving Positioning in Wi-Fi Fine Timing Measurement","authors":"Domien Schepers, Aanjhan Ranganathan","doi":"10.2478/popets-2022-0048","DOIUrl":null,"url":null,"abstract":"Abstract With the standardization of Wi-Fi Fine Timing Measurement (Wi-Fi FTM; IEEE 802.11mc), the IEEE introduced indoor positioning for Wi-Fi networks. To date, Wi-Fi FTM is the most widely supported Wi-Fi distance measurement and positioning system. In this paper, we perform the first privacy analysis of Wi-Fi FTM and evaluate devices from a wide variety of vendors. We find the protocol inherently leaks location-sensitive information. Most notably, we present techniques that allow any client to be localized and tracked by a solely passive adversary. We identify flaws inWi-Fi FTM MAC address randomization and present techniques to fingerprint stations with firmware-specific granularity further leaking client identity. We address these shortcomings and present a privacy-preserving passive positioning system that leverages existing Wi-Fi FTM infrastructure and requires no hardware changes. Due to the absence of any client-side transmission, our design hides the very existence of a client and as a side-effect improves overall scalability without compromising on accuracy. Finally, we present privacy-enhancing recommendations for the current and next-generation protocols such as Wi-Fi Next Generation Positioning (Wi-Fi NGP; IEEE 802.11az).","PeriodicalId":74556,"journal":{"name":"Proceedings on Privacy Enhancing Technologies. Privacy Enhancing Technologies Symposium","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings on Privacy Enhancing Technologies. Privacy Enhancing Technologies Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/popets-2022-0048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Abstract With the standardization of Wi-Fi Fine Timing Measurement (Wi-Fi FTM; IEEE 802.11mc), the IEEE introduced indoor positioning for Wi-Fi networks. To date, Wi-Fi FTM is the most widely supported Wi-Fi distance measurement and positioning system. In this paper, we perform the first privacy analysis of Wi-Fi FTM and evaluate devices from a wide variety of vendors. We find the protocol inherently leaks location-sensitive information. Most notably, we present techniques that allow any client to be localized and tracked by a solely passive adversary. We identify flaws inWi-Fi FTM MAC address randomization and present techniques to fingerprint stations with firmware-specific granularity further leaking client identity. We address these shortcomings and present a privacy-preserving passive positioning system that leverages existing Wi-Fi FTM infrastructure and requires no hardware changes. Due to the absence of any client-side transmission, our design hides the very existence of a client and as a side-effect improves overall scalability without compromising on accuracy. Finally, we present privacy-enhancing recommendations for the current and next-generation protocols such as Wi-Fi Next Generation Positioning (Wi-Fi NGP; IEEE 802.11az).
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
Wi-Fi精细定时测量中的隐私保护定位
摘要随着Wi-Fi精细定时测量(Wi-Fi FTM;IEEE 802.11mc)的标准化,IEEE引入了Wi-Fi网络的室内定位。到目前为止,Wi-Fi FTM是支持最广泛的Wi-Fi距离测量和定位系统。在本文中,我们对Wi-Fi FTM进行了首次隐私分析,并评估了来自各种供应商的设备。我们发现该协议本质上会泄露位置敏感信息。最值得注意的是,我们提出的技术允许任何客户端被定位并被一个被动的对手跟踪。我们发现了Wi-Fi FTM MAC地址随机化中的缺陷,并提出了具有固件特定粒度的指纹站技术,进一步泄露了客户端身份。我们解决了这些缺点,并提出了一种保护隐私的被动定位系统,该系统利用了现有的Wi-Fi FTM基础设施,不需要更改硬件。由于没有任何客户端传输,我们的设计隐藏了客户端的存在,并且作为副作用,在不影响准确性的情况下提高了整体可扩展性。最后,我们提出了当前和下一代协议的隐私增强建议,如Wi-Fi下一代定位(Wi-Fi NGP;IEEE 802.11az)。
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
审稿时长
16 weeks
期刊最新文献
Editors' Introduction Compact and Divisible E-Cash with Threshold Issuance On the Robustness of Topics API to a Re-Identification Attack DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection Privacy-Preserving Federated Recurrent Neural Networks
×
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