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A Novel technique on Information Hiding using Data Mining
Author Name : Anubhuti Singh
ABSTRACT
Sometimes companies involved in the similar business are often willing to cooperate each other so that they can perform data mining to extract knowledge from combined datasets. Generally, the fundamental target behind such sort of data mining is shared addition of every single included gathering. However, the organization dataset contains private or touchy data. Subsequently organizations may need certain vital or private data called delicate examples not to be distributed in the database. Consequently, before the database is delivered for sharing, some touchy examples must be covered up in the database due to protection or security concerns. To tackle this issue, touchy information hiding (affiliation rules hiding) issue has been examined in the examination network chipping away at security and information disclosure. The point of these calculations is to extricate however much as non touchy information from the community oriented databases as could be expected while securing delicate data. In this paper, a proficient calculation utilizing data mining way to deal with ensure touchy data has been planned and demonstrated.