A Survey on Methods, Attacks and Metric for Privacy Preserving Data Publishing
Privacy Preserving is a prerequisite for most of the existing systems. Data is usually distributed in the system so the main job of Data Publisher is to retrieve information from different location and to transform it in to some standard format suitable for Data Recipient. This information contains sensitive data which must be preserved by Data Publisher before it is published. So the core of this method is to preserve the sensitivity of data pertaining to individual or company related data. The complexity of its representation and the prerequisite of the current industry have driven lot of research in this direction. In this paper, the authors provide a review of various methods for anonymization and analyze various disclosures that may happen in each of them.