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Generalization-Based Privacy-Preserving Data Collection
[chapter]
Lecture Notes in Computer Science
In privacy-preserving data mining, there is a need to consider on-line data collection applications in a client-server-to-user (CS2U) model, in which a trusted server can help clients create and disseminate anonymous data. Existing privacy-preserving data publishing (PPDP) and privacy-preserving data collection (PPDC) methods do not sufficiently address the needs of these applications. In this paper, we present a novel PPDC method that lets respondents (clients) use generalization to create
doi:10.1007/978-3-540-85836-2_11
fatcat:v2bubsjf2rgdtgkvb24egf6fue