Data Leakage Detection Model for Finding Guilty Agents

The following problem may occur in real world scenario: A data distributor has given sensitive data to a set of trusted agents (third parties or third persons).It may happen that some of the data is leaked and found in an unauthorized place (e.g., on the web or unauthorized person’s laptop). The distributor must assess the probability of specified outcome that the leaked data came from one or more agents. In this paper, we implement methods aimed at improving the odds of detecting such leakages when a distributer’s sensitive data has been leaked by trustworthy agents and also to possibly identify the agent that leaked the data. By adding fake objects to distributed set, the distributor can find the guilty party.