A comparative review of privacy preservation techniques in data publishing
Atul Kumar, Manasi Gyanchandani, Priyank Jain · 2018 2nd International Conference on Inventive Systems and Control (ICISC) · 2018
Most enterprises generate a huge amount of public and private dataset actively with the integration of modern technology. So, security is a big concern of these dataset. Initially the security is provided at enterprise level but now-a-days it is an inevitable task to provide security at personal level. So to achieve the security generalization, suppression, slicing and one attribute per column slicing is used till now. The aim of this paper is to draw a review of all the existing techniques which are used in privacy preservation with comparative analysis of all anonymization techniques and show the flaw of privacy preservation techniques with respect to different parameters.