ANONYMIZING TRANSACTION DATA PUBLICATION USING SLICING
|Dr.K.P.Kaliyamurthie and D.Parameswari
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Slicing technique has been proposed as a mechanism for protecting privacy in microdata publishing. To hide certain customer specific information while releasing the transaction data to a third party. Several anonymization techniques have been used for data publishing. Generalization technique loses considerable amount of information, especially for high dimensional data. Bucketization technique does not have a clear separation between quasiidentifying attributes and sensitive attributes. Slicing preserves better data utility than generalization and bucketization. This technique partitions the data both horizontally and vertically. Slicing can handle high dimensional data.