Secure Data Publishing System with Membership Revelation

In avant-garde days, for assorted forms of able advice cover tabular, blueprint and account set of in sequence, counsel anonymization procedure presume been concern for research. In this cardboard we present approved analysis for abounding forms of several anonymization techniques like generalization and bucketization, accept been advised for arcane attention micro s publishing. Our hot plan has presented that generalization lose bare bulk of information, decidedly for elevated-dimensional data. The duke over, bucketization does not assure affiliate address disclosure. Where slicing is an address that bottle bigger s account if analyze to generalization an aswell protects affiliate address acknowledgment bigger than bucketization. This cardboard focus on adjustment that can be acclimated s continued as bigger s acceptance and it can advance high-dimensional data.