Título:	A privacy preservation masking method to support business collaboration.
Autor:	OLIVEIRA, S. R. de M.
Afiliación:	STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA.
Año:	2005
Referencia:	In: SIMPÓSIO BRASILEIRO EM SEGURANÇA DA INFORMAÇÃO E DE SISTEMAS COMPUTACIONAIS, 5., 2005, Florianópolis. Anais... Florianópolis: Sociedade Brasileira de Computação, 2005.
Páginas:	p. 68-81.
Descripción:	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.
Thesagro:	Informática
NAL Thesaurus:	Information
Palabras clave:	Segurança da informação Sistemas computacionais Colaboração Preservação da privacidade Privacy preservation
Notas:	Na publicação: Stanley R. M. Oliveira.
Tipo de Material:	Artigo em anais e proceedings
Acceso:	openAccess
Aparece en las colecciones:	Artigo em anais de congresso (CNPTIA)