Privacy-Preserving Data Mining for Horizontally-Distributed Datasets using ”ŽEGADP
Communications of the IBIMA
In this paper, we investigate the possibility of using EGADP for protecting data in horizontally-distributed datasets. EGADP is a new advanced data perturbation method that masks confidential numeric attributes in original datasets while reproducing all linear relationships in masked datasets. It is developed for centralized…