去中心化数据处理:个人数据存储和GDPR

IF 2.6 4区 社会学 Q1 LAW
H. Janssen, Jennifer Cobbe, Chris Norval, Jatinder Singh
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引用次数: 7

摘要

在线服务是由数据驱动的;功能和价值来源于它的加工。然而,个人通常对他们的数据被什么、如何、为什么以及由谁捕获、分析、传输、存储或以其他方式使用几乎没有可视性,更不用说控制了。针对这一点,以及公众对数据相关问题的讨论日益增多,计算机科学和工程界相当重视开发增强隐私技术(pet),即有助于解决隐私问题的技术工具和措施。个人数据存储(pds)就是这样一种技术,旨在解决关键问题
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decentralized data processing: personal data stores and the GDPR
Online services are driven by data; functionality and value are derived from its processing. However, individuals generally have little visibility—let alone control— over what, how, why, and by whom their data are captured, analysed, transferred, stored, or otherwise used. In response to this, and to the growing public discourse regarding data-related issues, there is considerable focus by the computer science and engineering communities on developing privacy-enhancing technologies (PETs), ie technical tools and measures that can assist in addressing privacy concerns. Personal data stores (PDSs) are one such technology, which aims to tackle Key Points
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来源期刊
CiteScore
4.70
自引率
9.50%
发文量
20
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