With the continuous increase in avenues of personal data generation, privacy protection has
become a hot research topic resulting in various proposed mechanisms to address this …

Recent studies have shown that data are some of the most valuable resources for making
government policies and business decisions in different organizations. In privacy preserving …

Investigation into privacy preserving data publishing with multiple sensitive attributes is
performed to reduce probability of adversaries to guess the sensitive values. Masking the …

The development of the Internet of Things (IoT) has created new opportunities for
information and communication technologies. The evolution of technology, the increased …

AI/ML forces the requirement of privacy preservation to a completely different level of
discussion than has been common since big data or machine learning came into existence …

Anatomy model has been developed for reducing information loss on the previous model in
the field of privacy-preserving data publishing. The previous model such as k-anonymity, p …

Privacy preserving data publishing (PPDP) provides a suite of anonymization algorithms
and tools that aim to balance the privacy of sensitive attributes and utility of the published …

This paper aims to determine the main sensitive attribute in anatomy with multiple sensitive
attributes. Privacy in published data becomes important and interesting research recently …

Various organizations share sensitive personal data for data analysis. Therefore, sensitive
information must be protected. For this purpose, privacy preservation has become a major …

In order to solve the problems of high node loss rate, high time overhead and high risk of
privacy disclosure in network node privacy information protection, an ultra dense network …