IEEE Project Data Leakage Detection 2011

IEEE 2011 Project :

We study the following problem: 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
assess the likelihood 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). In some cases, we can also inject “realistic but fake” data records to
further improve our chances of detecting leakage and identifying the guilty party.

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