Publishing Skewed Sensitive Microdata

Summary

It is shown that the minimality of suppression may lead to linking attacks, and a randomized suppression solution is proposed that has the least expected suppression in a large family of randomized solutions, for a given privacy requirement.

Keywords

Microdata (statistics), Computer science, Inference, Publishing, Publication

References

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Cited by

Small Count Privacy and Large Count Utility in Data PublishingAda Wai-Chee Fu, Jia Wang, Ke Wang — 2012
Anonymizing Temporal DataKe Wang, Yabo Xu, Raymond Chi-Wing Wong — 2010
BÜYÜK VERİDE ANONİMLEŞTİRME TEKNİKLERİ VE SALDIRI TÜRLERİ: UYGULAMA ÖRNEKLERİHamza Talha Gümüş, Can Eyüpoğlu — 2022
VERİ MAHREMİYETİ: SALDIRILAR, KORUNMA VE YENİ BİR ÇÖZÜM ÖNERİSİYılmaz Vural — 2018

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