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A combined concept of K-means clustering and DES technique accomplishing Anonymization method for Privacy Preservation

Priyanka Pachauri, Unmukh Datta

Abstract


Privacy-Preserving Data Mining also an important part of the data mining and privacy preservation has gain particular attention in current years. Data mining has been widely studied and useful into numerous fields which include the  the business growth. In any case, Data mining strategies furthermore take region basic requesting circumstances because of augmented touchy measurements revelation and the infringement of privacy. This discussion describes the privacy concern that occurs due to data mining, particularly for the national security applications.  We discuss PPDM by Anonymization Method in which we utilize K-implies grouping keeping in mind the end goal to isolate the given information and DES calculation for encryption of information so as to keep touchy information from assailant.

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