Prevention of confidential and sensitive information leakage in data mining

Abstract

Extensive measure of data is delivered in electronic form by different legislative and non-legislative organizations. Information related to specific individual needs to be protected, sothat it may not harm the privacy.It is observed that various techniques has been proposed earlier times as a mechanism for protecting privacy in publishingof sensitive data, but the mechanisms are inadequate to safeguard the secrecyproblems.Kanonymity has been used as successful techniqueitexpress this methodologyachievesenhanced over the distinct ldiversity measure, probabilistic l-diversity measureand k-anonymity through t-closeness measure since only rarer partitioning must be done for a robustsecrecyrequiremen