The Role of Synthetic Data in Ensuring Data Privacy and Enabling Secure Analytics

Abstract

This research focuses on the analysis of the role synthetic data could play in the maintenance of privacy under the GDPR regulations. It considers, for actual effectiveness, some of the methods for generating synthetic data, like differential privacy and GANs. The study also shows some challenges to organizations about compliance with the data, since the main use of synthetic data is analytical. The performance of the experiments revealed that synthetic data represented a good balance regarding the protection of privacy. This presented the assumption that new methods are, above all, the key to improving good practices in data privacy.