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Data privacy

delete2014-06-02
delete13
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OA
AI
V
Vicenç Torra *
G
Guillermo Navarro‐Arribas
DOI:10.1002/widm.1129delete
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摘要

摘要

En 中文
Data privacy studies methods, tools, and theory to avoid the disclosure of sensitive information. Its origin is in statistics with the goal to ensure the confidentiality of data gathered from census and questionnaires. The topic was latter introduced in computer science and more particularly in data mining, where due to the large amount of data currently available, has attracted the interest of researchers, practitioners, and companies. In this paper we will review the main topics related to data privacy and privacy-enhancing technologies. (C) 2014 John Wiley & Sons, Ltd.
Keyword:
INFORMATION LOSS MEASURES
DISCLOSURE RISK
RECORD LINKAGE
K-ANONYMITY
REIDENTIFICATION METHODS
DIFFERENTIAL PRIVACY
PRESERVING PRIVACY
SOCIAL NETWORKS
ANONYMIZATION
MICRODATA
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery 封面图
Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
IF:
11.7
论文数:
548
被引数:
5.3K

机构

C
consejo superior de investigaciones cientificas (csic)
学者数:
8.8W
论文数: 8.5W
被引数: 125
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