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Data Leakage Detection

Papadimitriou, Panagiotis and Garcia-Molina, Hector (2011) Data Leakage Detection. IEEE Transactions on Knowledge and Data Engineering (TKDE), 23 (1). pp. 51-63. ISSN 1041-4347


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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 is 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.

Item Type:Article
Projects:PORTIA (DB-Privacy)
Related URLs:Author Homepage
ID Code:968
Deposited By:Panagiotis Papadimitriou
Deposited On:25 May 2010 03:46
Last Modified:20 Jan 2011 15:15

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