A privacy preservation masking method to support business collaboration.
2020
OLIVEIRA, S. R. de M.
葡萄牙语. Na publicação: Stanley R. M. Oliveira.
显示更多 [+] 显示较少 [-]英语. 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.
显示更多 [+] 显示较少 [-]