… The main idea behind l-diversity is the requirement that … k-anonymity can be adapted
to compute l-diverse tables (Section 5), and, in an experimental evaluation, we show that ldiversity …

… [12] proposed l-diversity. As we discuss in detail in Section 3, while l-diversity is an important
step beyond k-anonymity, it has a number of … Xiao and Tao [21] observe that l-diversity can- …

… privacy against neighborhood attacks, we extend the conventional k-anonymity and l-diversity …
In this paper, we focus our discussion on privacy models of k-anonymity and l-diversity, …

… Overall, this paper displays several algorithms in proving the ability of l-diversity to
acknowledge the imperfections in k-anonymity to overcome homogeneity assault and background …

… work that employed k-anonymity to protect users’ privacy when publishing … k-anonymity-based
techniques to preserve not only users’ identity privacy, but also user’s relationship privacy …

… In this paper, two PPDM techniques were presented which are k-anonymity and l-diversity. …
Although, it’s now clear that in matter of security l-diversity is better than k-anonymity for …

… privacy definition of k-Anonymity and l-Diversity from relational data to social network data in
order to reach privacy … The k-anonymity and l-diversity approaches for privacy preservation …

… between k-anonymity and ldiversity, which can be used to design better generalization
algorithms in terms of efficiency and data utility, while guaranteeing the property of l-diversity …

… modified k-anonymity algorithm in a manner that ensures security against linking attacks. In
the second step, we extend the k-anonymity algorithm based on the concepts of l-diversity to …

… of existing privacy preserving data publishing approaches, therefore, we propose Improved
… l-Diversity (ImSLD) approach which is the extension of Improved Scalable k-Anonymity (…