Privacy Data Publishing Using Slicing and Tuple Grouping Strategy

The important factor while publishing the information is better data utility, the information contains individual specific records like employees records, patients records etc. There are many techniques introduced for providing privacy , the existing system has designed with generalization and bucketization techniques along with the sclicing technique. Consider the loss of information is the problem of those methods and they doesn’t protect membership disclosure. There is no clear division between sensitive attributes and quasi identifiers. In order to make the system more effective we are using tuple grouping algorithm with slicing. In slicing the data is partitioned both vertically and horizontally. These provide us better data utility than generalization and protect from membership disclosure. it will also handle high dimensional data. For research purpose the data is published and shared by the organization and companies.