A privacy preservation masking method to support business collaboration.

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Author(s): OLIVEIRA, S. R. de M.

Summary: This paper introduces a privacy preservation masking method to support business collaboration, called Dimensionality Reduction-Based Transformation (DRBT). This method relies on the intuition behind random projection to mask the underlying attribute values subject to cluster analysis. Using DRBT, data owners are able to find a solution that meets privacy requirements and guarantees valid clustering results. DRBT was validated taking into account five real datasets. The major features of this method are: a) it is independent of distance-based clustering algorithms; b) it has a sound mathematical foundation; and c) it does not require CPU-intensive operations.

Publication year: 2005

Types of publication: Paper in annals and proceedings

Unit: Embrapa Digital Agriculture

Keywords: Colaboração, Information, Informática, Preservação da privacidade, Privacy preservation, Segurança da informação, Sistemas computacionais

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