PREVENTION OF LEAKAGE SENSITIVE AND PRIVILEGED INFORMATION ANALYSIS
Abhijeet kumar
M.Tech Scholar CSE, Compucom Inst. Of Tech. & Management,jaipur , IN
Mrs.Geeta Tiwari
M.Tech Scholar CSE, Compucom Inst. Of Tech. & Management,jaipur , IN
Mr.kishore Mishra
M.Tech Scholar CSE, Compucom Inst. Of Tech. & Management,jaipur , IN
Keywords: Data mining, Anonymization , Fuzzy C-Means Clustering, Privacy preserving.
Abstract
privacy preserving is the most concerning issue. Information related to specific individual needs to be protected, so that it may not harm the privacy. Anonymization method is applied on the dataset, Pseudonymization is a method to substitute identifiable data with a reversible, consistent value. Anonymization is the destruction of the identifiable data. K-anonymity has been used as successful technique it express this methodology achieves enhanced over the distinct l-diversity measure, probabilistic l-diversity measure and k-anonymity through t-closeness measure since only rarer partitioning must be done for a robust secrecy requirement. Then by using of fuzzy c-means clustering data are clustered.
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