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Research Article Open Access
In the recent year, the privacy takes major role to secure the data from various potential hackers. The privacy technique is used to avoid the stealing and reduce the leakage about the particular or individual information while the data are shared and realized to public. This paper focused for collaborative data publishing problem by anonymizing multiple data providers and generate the privacy to secure the data from new type of insider attacker. Varies approaches have been proposed to produce the privacy for anonymizing problem such as generalization, bucketization and slicing each of them has taken the solution of creating a privacy while data is publishing. Yet owing the possibilities of additional improvement, the system proposed in this paper takes the m-privacy and overlapping technique. This technique overcome the previous technique and shows the better result than the existing techniques.