Implementing privacy mechanisms for data using anonymization algorithms
Shankar Nayak Bhukya, Suresh Pabboju, K. Venkatesh Sharma · 2016
In today's digital world, with the increase of using internet, personal data is collected with online activities for analysis or for surveillance. So there is a need of providing privacy to the personal data. In many organizations the sensitive data is shared with authorized access, but there is still disclosure of identity of persons. So privacy is a major concern. Privacy for the sensitive data can be achieved through anonymization algorithms and should satisfy the properties like k-anonymity or 1-diversity. The theme of the work is to provide privacy and minimum precision level to the data. In this paper, a framework is developed which puts an additional feature of access control with privacy mechanisms for multiple role. When the access control and anonymization algorithms for data are integrated, they work together as an administration for an application as a configurable privacy protection for access control framework.