A Supermodularity-Based Differential Privacy Preserving Algorithm for Data Anonymization

Maximizing data usage and minimizing privacy risk are two conflicting goals. Organizations always apply a set of transformations on their data before releasing it. While determining the best set of transformations has been the focus of extensive work in the database community, most of this work suff...

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Vydané v:	IEEE transactions on knowledge and data engineering Ročník 26; číslo 7; s. 1591 - 1601
Hlavní autori:	Fouad, Mohamed R., Elbassioni, Khaled, Bertino, Elisa
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.07.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Aggregates Algorithms and protection Communities Data Data privacy Data sharing Database design Database Management Information Storage and Retrieval Information Technology and Systems integrity Knowledge and data engineering tools and techniques modeling and management Online Information Services Privacy Scalability Security Differential privacy risk management security data utility anonymity data sharing scalability
ISSN:	1041-4347, 1558-2191
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