• K.Nandini
• Dr.S.Chandrasekaran
• K.Thiyagu

The enterprise may outsource its data processing, and data must be given to various other companies. We call the owner of the original data the distributor and the supposedly trusted third parties the agents. And Our goal is to detect when the distributor’s sensitive data has been leaked by agents, or Other third-party and if possible to identify the agent that leaked the data. The project considers applications where the original sensitive data cannot be perturbed. Perturbation is very high and a very useful technique where the data is modified and made “low sensitive” before being handed to agents. For example, one ore more can add random noise to certain attributes, or one can replace exact values by ranges. However, in some cases it is important not to alter the original distributor’s data. For this project we are study unobtrusive techniques for detecting leakage of a set of objects or records in the data. Specifically, we study the following scenario: After giving the set of objects to agents, the distributor discoverssomeofthosesameobjectsinanunauthorizedplace.thispointthedistributorscanassessthe likelihood that the leaked data came from one or more agents, as opposed having been independently gathered by Other mean. Finally, we also consider the option of adding “fake” or" Not real" objects to the distributed set. Such objects do not correspond to real entities but appear realistic to the agents. This Project is developed in Asp.net as front end and back end as SQL server.

SymmetricKey,FakeObjects,DataDistributor,UnobtrusiveTechniques

"PREVENTIONOFDATALEAKERSINSPARTIALDOMAIN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.30-34, May-2024, Available :http://www.jetir.org/papers/JETIRGG06006.pdf

"PREVENTIONOFDATALEAKERSINSPARTIALDOMAIN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. pp30-34, May-2024, Available at : http://www.jetir.org/papers/JETIRGG06006.pdf