大数据、匿名化和治理到个人数据保护

Artur Potiguara Carvalho, Fernanda Potiguara Carvalho, E. Canedo, Pedro Henrique Potiguara Carvalho
{"title":"大数据、匿名化和治理到个人数据保护","authors":"Artur Potiguara Carvalho, Fernanda Potiguara Carvalho, E. Canedo, Pedro Henrique Potiguara Carvalho","doi":"10.1145/3396956.3398253","DOIUrl":null,"url":null,"abstract":"In a massive processing data era, an emerging impasse has taking scenario: privacy. In this context, personal data receive particular attention, witch its laws and guidelines that ensure better and legal use of data. The General Data Protection Regulation (GDPR) - in the European Union - and the Brazilian General Data Protection Law (LGPD) - in Brazil - lead to anonymisation (and its processes and techniques) as a way to reach secure use of personal data. However, expectations placed on this tool must be reconsidered according to risks and limits of its use, mainly when this technique is applied to Big Data. We discussed whether anonymisation used in conjunction with good data governance practices could provide greater protection for privacy. We conclude that good governance practices can strengthen privacy in anonymous data belonging to a Big Data, and we present a suggestive governance framework aimed at privacy.","PeriodicalId":93488,"journal":{"name":"Proceedings of the ... International Conference on Digital Government Research. International Conference on Digital Government Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Big Data, Anonymisation and Governance to Personal Data Protection\",\"authors\":\"Artur Potiguara Carvalho, Fernanda Potiguara Carvalho, E. Canedo, Pedro Henrique Potiguara Carvalho\",\"doi\":\"10.1145/3396956.3398253\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In a massive processing data era, an emerging impasse has taking scenario: privacy. In this context, personal data receive particular attention, witch its laws and guidelines that ensure better and legal use of data. The General Data Protection Regulation (GDPR) - in the European Union - and the Brazilian General Data Protection Law (LGPD) - in Brazil - lead to anonymisation (and its processes and techniques) as a way to reach secure use of personal data. However, expectations placed on this tool must be reconsidered according to risks and limits of its use, mainly when this technique is applied to Big Data. We discussed whether anonymisation used in conjunction with good data governance practices could provide greater protection for privacy. We conclude that good governance practices can strengthen privacy in anonymous data belonging to a Big Data, and we present a suggestive governance framework aimed at privacy.\",\"PeriodicalId\":93488,\"journal\":{\"name\":\"Proceedings of the ... International Conference on Digital Government Research. International Conference on Digital Government Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ... International Conference on Digital Government Research. International Conference on Digital Government Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3396956.3398253\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ... International Conference on Digital Government Research. International Conference on Digital Government Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3396956.3398253","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
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
Big Data, Anonymisation and Governance to Personal Data Protection
In a massive processing data era, an emerging impasse has taking scenario: privacy. In this context, personal data receive particular attention, witch its laws and guidelines that ensure better and legal use of data. The General Data Protection Regulation (GDPR) - in the European Union - and the Brazilian General Data Protection Law (LGPD) - in Brazil - lead to anonymisation (and its processes and techniques) as a way to reach secure use of personal data. However, expectations placed on this tool must be reconsidered according to risks and limits of its use, mainly when this technique is applied to Big Data. We discussed whether anonymisation used in conjunction with good data governance practices could provide greater protection for privacy. We conclude that good governance practices can strengthen privacy in anonymous data belonging to a Big Data, and we present a suggestive governance framework aimed at privacy.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The Misinformation Threat: A Techno-Governance Approach for Curbing the Fake News of Tomorrow Book Review: Recoding America- Why Government is Failing in the Digital Age and How we can Do Better Challenges in AI-supported process analysis in the Italian judicial system: what after digitalization? PLUS: A Semi-automated Pipeline for Fraud Detection in Public Bids How Does the Citizen's Education Level Affect Their Internet Rights Protection Willingness? ——The Parallel Intermediary Effect of Digital Information Acquisition Ability and Utilization Ability
×
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