Abstract

Design and Quantification of Privacy Preserving Distributed Data Mining

Pawan Kumar

091-100

Vol: 1, Issue: 2, 2011

The goal of data mining is to extract or “mine” knowledge from large amounts of data. Privacy, legal and commercial concerns restrict centralized access to this data. Theoretical results from the area of secure multiparty computation in cryptography prove that assuming the existence of trapdoor permutations, one may provide secure protocols for any two-party computation as well as for any multiparty computation with honest majority.

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