A Comparative Analysis of Data Anonymization Techniques: Evaluating K-Anonymity, L-Diversity, and T-Closeness in Mondrian L Diversity, Basic Mondrian, Mondrian, DataFly and Top-Down Greedy Algorithms

Conference paper > Full Text

Authors: Kaan Kivircik, Emine SEZER, Deniz Kilinç

Communications in Computer and Information Science, , , International, Full Text, Scopus, pp 74-87

DOI: 10.1007/978-3-031-94953-1_7

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