title: Data Leakage Detection
creator: Papadimitriou, Panagiotis
creator: Garcia-Molina, Hector
subject: Databases and the Web
description: 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 asses 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
publisher: Stanford
date: 2008-06
type: Techreport
type: NonPeerReviewed
format: application/pdf
identifier: http://ilpubs.stanford.edu:8090/839/1/2008-23.pdf
identifier: Papadimitriou, Panagiotis and Garcia-Molina, Hector (2008) Data Leakage Detection. Technical Report. Stanford.
relation: http://ilpubs.stanford.edu:8090/839/