Anonymity-Preserving Location Data Publishing

Girish Lingappa, Ying Cai
{"title":"Anonymity-Preserving Location Data Publishing","authors":"Girish Lingappa, Ying Cai","doi":"10.1109/ICCCN.2008.ECP.111","DOIUrl":null,"url":null,"abstract":"The advances in wireless communication and positioning technology have made it possible to collect large volumes of personal location data. While such data are useful to many organizations, making them public accessible is generally prohibited, because location data may imply sensitive private information. This paper investigates the challenges of publishing location data while preserving the location privacy of data subjects. Since location data itself may lead to subject reidentification, simply removing user identity of location data is not sufficient for anonymity preservation. To address this problem, this paper presents a novel technique that reduces location resolution to achieve a desired level of anonymity protection. The new scheme ensures K-anonymity protection and allows location data to be published as accurate as possible. More importantly, it is designed to support efficient publishing of large volumes of location data.","PeriodicalId":314071,"journal":{"name":"2008 Proceedings of 17th International Conference on Computer Communications and Networks","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Proceedings of 17th International Conference on Computer Communications and Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCN.2008.ECP.111","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

The advances in wireless communication and positioning technology have made it possible to collect large volumes of personal location data. While such data are useful to many organizations, making them public accessible is generally prohibited, because location data may imply sensitive private information. This paper investigates the challenges of publishing location data while preserving the location privacy of data subjects. Since location data itself may lead to subject reidentification, simply removing user identity of location data is not sufficient for anonymity preservation. To address this problem, this paper presents a novel technique that reduces location resolution to achieve a desired level of anonymity protection. The new scheme ensures K-anonymity protection and allows location data to be published as accurate as possible. More importantly, it is designed to support efficient publishing of large volumes of location data.
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
匿名保存位置数据发布
无线通信和定位技术的进步使得收集大量的个人位置数据成为可能。虽然这些数据对许多组织都很有用,但通常禁止将其公开访问,因为位置数据可能意味着敏感的私人信息。本文研究了在保护数据主体位置隐私的同时发布位置数据所面临的挑战。由于位置数据本身可能导致主体重新识别,因此简单地删除位置数据的用户身份不足以保持匿名性。为了解决这个问题,本文提出了一种新的技术,降低了位置分辨率,以达到理想的匿名保护水平。新方案确保了k -匿名保护,并允许尽可能准确地发布位置数据。更重要的是,它旨在支持高效地发布大量位置数据。
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
Bandwidth Management For Distributed Systems Robust Video Transmission Over Packet Erasure Wireless Channels Based on Wyner-Ziv Coding of Motion Regions Anonymity-Preserving Location Data Publishing A New Proposal for QKD Relaying Models Seamless Video Transmission over Wireless LANs based on an Effective QoS Model and Channel State Estimation
×
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