Geopriv4j

Liyue Fan, S. Gunja
{"title":"Geopriv4j","authors":"Liyue Fan, S. Gunja","doi":"10.1145/3403896.3403968","DOIUrl":null,"url":null,"abstract":"The breach of users' location privacy can be catastrophic. To prevent privacy breaches, numerous location privacy methods have been developed in the last two decades. However, they have not been widely adopted in location-based applications. As a result, users' true location data is directly shared with untrusted service providers or researchers, raising concerns about location privacy. In this paper, we describe our effort to develop an open source repository, named Geopriv4j, in order to facilitate the adoption of location privacy methods in location-based services and research studies. Geopriv4j emphasizes on the practicality of location privacy, by identifying local, on-the-fly privacy methods under multiple categories. To facilitate adoption, Geopriv4j unifies the implementation of location privacy in Java, and provides usage examples as well as a sample Android app. To validate our implementation, we evaluate the location privacy methods in Geopriv4j with CPU, memory, and run time measures, using synthetically generated location traces.","PeriodicalId":433637,"journal":{"name":"Proceedings of the Sixth International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Sixth International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3403896.3403968","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

The breach of users' location privacy can be catastrophic. To prevent privacy breaches, numerous location privacy methods have been developed in the last two decades. However, they have not been widely adopted in location-based applications. As a result, users' true location data is directly shared with untrusted service providers or researchers, raising concerns about location privacy. In this paper, we describe our effort to develop an open source repository, named Geopriv4j, in order to facilitate the adoption of location privacy methods in location-based services and research studies. Geopriv4j emphasizes on the practicality of location privacy, by identifying local, on-the-fly privacy methods under multiple categories. To facilitate adoption, Geopriv4j unifies the implementation of location privacy in Java, and provides usage examples as well as a sample Android app. To validate our implementation, we evaluate the location privacy methods in Geopriv4j with CPU, memory, and run time measures, using synthetically generated location traces.
求助全文
约1分钟内获得全文 求助全文
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:604180095
Book学术官方微信