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Data privacy
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DOI：10.1002/widm.1129.png)
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Abstract
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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.
Keywords:
INFORMATION LOSS MEASURES
DISCLOSURE RISK
RECORD LINKAGE
K-ANONYMITY
REIDENTIFICATION METHODS
DIFFERENTIAL PRIVACY
PRESERVING PRIVACY
SOCIAL NETWORKS
ANONYMIZATION
MICRODATA
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