GPGPU PARALLEL PROCESSING METHOD OF DATA ANONYMIZATION USING GPGPU

摘要

According to the present invention, a parallel processing method of data anonymization using a general purpose graphic processing unit (GPGPU) comprises: an anonymization information input step of receiving original data composed of at least one data record, a category tree on each semi-identifier forming the original data, and a search lattice composed of a combination of the category trees; an anonymization information generalization step of generating generalization data on the data record by performing parallel anonymization on each of the data records by using the category tree on the semi-identifier and the search lattice through a GPU; and a privacy verification step of comparing the general data on the data record with a preset privacy model. Therefore, the parallel processing method of data anonymization using a GPGPU can reduce a calculation time for anonymizing the original data.