… To protect the privacy of panelists, we consider the well-known privacy notion of k-anonymity
and develop a new approach called graph-based minimum movement k-anonymization (k-…

… of multi-dimensional data, we propose a multi-dimensional data K-anonymity privacy protection
algorithm (KAPP) against skewness and similarity attacks. Firstly, we preprocess the multi…

… privacy preservation algorithm, which is k-anonymity. The reason behind our choice is that
k-anonymity … frameworks such as differential privacy, k-anonymity remains popular as shown …

… To this end, we introduce sequential three-way decisions into k-anonymity, using a dynamic
… k-anonymity. Specifically, we first construct a hierarchical decision table for k-anonymity by …

… the privacy models and requirements of k-anonymity and of … and main privacy requirements
pursued by k-anonymity and … In Section 3, we focus on the enforcement of these privacy …

… , we examine the k-anonymity method in data protection. This algorithm initially … using
the definition of distance between the c of the records given. Algorithm 1 introduces k-anonymity…

… Targeting at the aforesaid concerns, we propose a k-anonymity location privacy protection
method based on Voronoi diagram in this study. The main contributions of this article as …

… their comprehension of privacy protection of 𝑘-anonymity as … of differential privacy protection
is enhanced by the privacy risk … intuition that privacy protection provided by 𝑘-anonymity is …

… We consider that this type of disclosure is also relevant for k-anonymity when data is … attack
on k-anonymity for numerical data based on standard tabular data protection privacy models […

… To the best of our knowledge, this article proved the NPHardness of k-anonymity using a
reduction from degreelimited graph 3-coloring for the first time. We also improved both alphabet …