Overlapping Slicing a Method for Privacy Preservation in Medical Applications

Abstract

Overlapping slicing is the best technique for privacy preserving of the published data set, it also preserves the data usefulness by hiding the sensitive information. Overlapping slicing is also used to hide the individual detail without revealing the identity of any individual at the same time offers better privacy. The different techniques that are used for privacy preservation of data namely generalization, bucketization, Multi-set generalization, slicing and overlapping slicing. Overlapping slicing technique is used to compress the whole dataset in order to preserve the privacy without any separation between quasi attribute and sensitive attribute that hides the individual detail by displaying only the required information which will be helpful for data usefulness and to take further decision to improve medical related technologies and medicines.