… [2] BB Patil and AJ Patankar, "Multidimensional kanonymity for protecting privacy using
nearest neighborhood strategy," 2013 IEEE International Conference on Computational …

… all generalization schemes in the k-anonymity method, for determining the optimal k-anonymity
solution. The generalization schemes which satisfy the k-anonymity and loss minimal …

… Third is privacy by cryptography that uses algorithms such as attribute-based … k-anonymity
as the privacy model in our study owing to the fact that every model is susceptible to privacy …

… protecting privacy requirements can be met by using such … RT is said to satisfy k-anonymity
if and only if each sequence … Table 1 is said to satisfy k-anonymity, QI RT includes nation, …

… This paper introduces a privacy protection method based on K-anonymity, which takes into
account the users' location privacy protection and query privacy protection. The proposed …

… Using k-anonymity, the attacker cannot correlate the query information of the requesting …
[11] propose the first distributed k-anonymity scheme. To make k-anonymity more practically, …

… 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-…

… privacy technique, k-anonymity for different values of k on different number c of columns of
the dataset. Next, the information loss due to k-anonymity … be used for kanonymity algorithm to …

… reliable cluster formation with high-level privacy protection. After forming the clusters that
provide k-anonymity, we apply the post-processing on each cluster using a one-pass algorithm. …

… In this paper, we introduce an enhanced protection model based on k-anonymity, which
allows data publishers to customize multiple privacy constraints for each record. Moreover, we …