Transcription of Privacy Preserving Data Mining - Pinkas
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Privacy Preserving Data Mining - Pinkas
Privacy Preserving data Mining Yehuda LindellDepartment of Computer ScienceWeizmann Institute of Pinkas STAR Lab, Intertrust Technologies4750 Patrick Henry DriveSanta Clara CA this paper we address the issue of Privacy Preserving data Mining . Specifically, we consider ascenario in which two parties owning confidential databases wish to run a data Mining algorithm onthe union of their databases, without revealing any unnecessary information. Our work is motivatedby the need to both protect privileged information and enable its use for research or other above problem is a specific example of secure multi-party computation and as such, can besolved using known generic protocols.
1 Introduction We consider a scenario where two parties having private databases wish to cooperate by computing a data mining algorithm on the union of their databases.
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