26-02-2013, 09:39 AM
SLICING A NEW APPROACH T0 PRIVACY PRESERVING DATA PUBLISHING
SLICING A NEW APPROACH.ppt (Size: 1.75 MB / Downloads: 56)
ABSTRACT
Several anonymization techniques, such as generalization and bucketization, have been designed for privacy preserving microdata publishing.Recent work has shown that generalization loses considerable amount of information, especially for high-dimensional data. Bucketization does not prevent membership disclosure and does not provide a clear separation between quasi-identifying attributes and sensitive attributes. The System present a novel technique called slicing, which partitions the data both horizontally and vertically.
EXISTING SYSTEM
Generalization
Bucketization
Bucketization
Bucketization table contains two columns.One column
contains only SAs and the other contains QI attributes.
Bucketization group several records and mix their
sensetive values.
PROPOSED SYSTEM
Slicing as a new technique for privacy preserving data
publishing . Slicing has several advantages when
compared with generalization and bucketization .