Abstract
We introduce CLiKC, a context-aware anonymization algorithm that takes advantage of external information available about the situation under consideration. This enables a more precise understanding of the resulting utility, thus reducing the risks of unfortunate disclosure. CLiKC was successfully applied to a Canadian life-insurance publicly available data set.
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CITATION STYLE
Aïmeur, E., Brassard, G., & Rioux, J. (2017). CLiKC: A privacy-mindful approach when sharing data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10158 LNCS, pp. 3–10). Springer Verlag. https://doi.org/10.1007/978-3-319-54876-0_1
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