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pyCANON: A Python library to check the level of anonymity of a dataset. (arXiv:2208.07556v1 [cs.CR])
Aug. 17, 2022, 1:20 a.m. | Judith Sáinz-Pardo Díaz, Álvaro López García
cs.CR updates on arXiv.org arxiv.org
Openly sharing data with sensitive attributes and privacy restrictions is a
challenging task. In this document we present the implementation of pyCANON, a
Python library and command line interface (CLI) to check and assess the level
of anonymity of a dataset through some of the most common anonymization
techniques: k-anonymity, ($\alpha$,k)-anonymity, $\ell$-diversity, entropy
$\ell$-diversity, recursive (c,$\ell$)-diversity, basic $\beta$-likeness,
enhanced $\beta$-likeness, t-closeness and $\delta$-disclosure privacy. For the
case of more than one sensitive attributes, two approaches are proposed for
evaluating this …
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