Titlebook: Secure Data Management; VLDB 2004 Workshop, Willem Jonker,Milan Petković Conference proceedings 2004 Springer-Verlag Berlin Heidelberg 200

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Experimental Analysis of Privacy-Preserving Statistics Computationwing concern about the privacy of individuals when their data is stored, aggregated, and mined for information. Building on the study of . and the efforts towards practical algorithms for privacy-preserving data mining solutions, we analyze and implement solutions to an important primitive, that of

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Achieving Privacy Preservation when Sharing Data for Clusteringvacy requirements and guarantee valid clustering results as well. To achieve this dual goal, we propose a novel spatial data transformation method called Rotation-Based Transformation (RBT). The major features of our data transformation are: a) it is independent of any clustering algorithm, b) it ha

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Management of Private Data: Addressing User Privacy and Economic, Social, and Ethical Concerns user private data. This paper focuses on the requirements and design of such services in support of a client-side private data management system. Appropriate management of private data on the client side can both educate and assure users that their privacy is well guarded, and that their private da

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