Protecting data: a fuzzy approach

DOI10.1080/00207160.2014.928700zbMath1343.68076OpenAlexW2049677173MaRDI QIDQ3451411

Irene Díaz, Pedro Alonso, Susana Montes, Pelayo Quirós

Publication date: 16 November 2015

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207160.2014.928700

zbMATH Keywords

fuzzy partitiondata privacy\(k\)-anonymity\(l\)-diversity\(t\)-closeness

Mathematics Subject Classification ID

Theory of fuzzy sets, etc. (03E72) Data encryption (aspects in computer science) (68P25)

Related Items (2)

New computational and statistical models in science and economics ⋮ On cardinalities of finite interval-valued hesitant fuzzy sets

Cites Work

• Privacy-preserving algorithms for distributed mining of frequent itemsets
• A note on rule representation in expert systems
• Fuzzy \(\delta\)-\(\varepsilon\)-partitions.
• Privacy-preserving trajectory data publishing by local suppression
• Identifying the Risk of Attribute Disclosure by Mining Fuzzy Rules
• THE NECESSITY OF THE STRONG α-CUTS OF A FUZZY SET
• ACHIEVING k-ANONYMITY PRIVACY PROTECTION USING GENERALIZATION AND SUPPRESSION
• A new approach to clustering

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