IoT Data Profiles: The Routines of Your Life Reveals Who You Are

Johan Fernquist, Torbjorn Fangstrom, Lisa Kaati
{"title":"IoT Data Profiles: The Routines of Your Life Reveals Who You Are","authors":"Johan Fernquist, Torbjorn Fangstrom, Lisa Kaati","doi":"10.1109/EISIC.2017.17","DOIUrl":null,"url":null,"abstract":"Preserving privacy is getting more and more important. The new EU general data protection regulation (GDPR) which will apply from May 2018 will introduce developments to some areas of EU data protection law and increase the privacy and personal integrity by strengthen and unify data protection for all individuals in EU. GDPR will most likely have an impact on many organizations and put pressure on many organizations that handle data.In this work, we investigate to what extent data profiles consisting of data from connected things can be used to identify a user. We use time and event profiles that can be created based on when, where and how a user communicates and uses digital devices. Our results show that such data profiles can be used to identify individuals and that collecting and creating data profiles of users can be seen as a serious threat towards privacy and personal integrity.","PeriodicalId":436947,"journal":{"name":"2017 European Intelligence and Security Informatics Conference (EISIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 European Intelligence and Security Informatics Conference (EISIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EISIC.2017.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Preserving privacy is getting more and more important. The new EU general data protection regulation (GDPR) which will apply from May 2018 will introduce developments to some areas of EU data protection law and increase the privacy and personal integrity by strengthen and unify data protection for all individuals in EU. GDPR will most likely have an impact on many organizations and put pressure on many organizations that handle data.In this work, we investigate to what extent data profiles consisting of data from connected things can be used to identify a user. We use time and event profiles that can be created based on when, where and how a user communicates and uses digital devices. Our results show that such data profiles can be used to identify individuals and that collecting and creating data profiles of users can be seen as a serious threat towards privacy and personal integrity.
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
物联网数据简介:你的日常生活揭示了你是谁
保护隐私变得越来越重要。新的欧盟一般数据保护条例(GDPR)将于2018年5月起实施,将对欧盟数据保护法的某些领域进行发展,并通过加强和统一欧盟所有个人的数据保护来增加隐私和个人诚信。GDPR很可能会对许多组织产生影响,并对许多处理数据的组织施加压力。在这项工作中,我们研究了由来自互联事物的数据组成的数据配置文件在多大程度上可以用于识别用户。我们使用时间和事件配置文件,这些配置文件可以根据用户何时、何地以及如何通信和使用数字设备来创建。我们的研究结果表明,此类数据配置文件可用于识别个人,收集和创建用户数据配置文件可被视为对隐私和个人诚信的严重威胁。
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
Behavioural Markers: Bridging the Gap between Art of Analysis and Science of Analytics in Criminal Intelligence How Analysts Think: How Do Criminal Intelligence Analysts Recognise and Manage Significant Information? Comparative Analysis of Crime Scripts: One CCTV Footage—Twenty-One Scripts Cyber Threat Intelligence Model: An Evaluation of Taxonomies, Sharing Standards, and Ontologies within Cyber Threat Intelligence A Statistical Method for Detecting Significant Temporal Hotspots Using LISA Statistics
×
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