Hybrid Model for Privacy Preservation Using Clustering and Classification Technique

Abstract: The security of data over the internet is major issue in current scenario. For the security of data used various technique such as cryptography, steganography and watermarking. Privacy preservation is new generation of data security. For the privacy preservation used various methods and algorithm. In this paper proposed the data mining based privacy preservation algorithm. The proposed algorithm is combination of clustering and classification. The process of clustering used the vector decomposition technique for the portioning of data. The partition and distributed data transfer the classifier for the validation and publication of data. The proposed algorithm implemented in MATLAB software and used reputed dataset form UCI machine learning. Our experimental result shows the better value instead of pervious methods.

Keywords: Privacy Preservation, Data Mining, Clustering, Classification, Vector