A Survey on k-Anonymity Generalization Algorithms

Abstract: The issue of data privacy is at the forefront of everybody’s mind. Media commercials advertise security merchandise and news programs oftentimes describe the most recent knowledge breach. Public perception aside, any organization incorporates a legal obligation to make sure that the privacy of their workers is protected. Laws compel some knowledge from being employed for secondary reasons aside from the aim that it absolutely was originally collected. We can’t collect data on the health of your workers. Also, we can’t share sure knowledge with third parties. Within the world of cloud computing, we currently have a third party operational and managing our infrastructure. By it’s terribly nature, that supplier can have access to our data. Hence data anonymity techniques are used to share the public data such as medical records by preserving the data privacy. In this paper we discuss on various the k-anonymity generalization algorithms used for privacy preserving.

Keywords: anonymity, data privacy, generalization, privacy preservation, data publishing