In the course of doing buisiness , sometimes sensitive data must be given to third parties. some of the data is leaked and found in an unauthorized place . The distributor cannot blame the agent without any evidence . This project identifies the agent who leaked the data with enough evidence .
A data distributor has given sensitive data to a set of supposedly trusted agents (third parties). Some of the data are leaked and found in an unauthorized place (e.g., on the web or somebody's laptop). The distributor must have the proof that the leaked data came from one or more agents, as opposed to having been independently gathered by other means. We propose data allocation strategies (across the agents) that improve the probability of identifying leakages. These methods do not rely on alterations of the released data (e.g., watermarks).
Our goal is to detect when the distributor’s sensitive data has been leaked by agents, and if possible to identify the agent that leaked the data.
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