ABSTRACT
To this point, we have discussed masking and anonymization as the answer to privacy preservation in data mining and test data management, which were covered in Chapters 5 and 6, respectively. However, there are areas where anonymization is considered not sufficient enough to protect sensitive data (SD) and prevent threats. This is especially true in sensitive domains such as healthcare, banking, and hedge funds. The alternative we discuss in this chapter is synthetic data generation.
