Data mining technology help the user in extraction of useful knowledge from large data sets. The process of data collection and data dissemination may, however, result in an inherent risk of privacy threats. Some private information about individuals, businesses and organizations has to be suppressed before it is shared or published. The Privacy-Preserving Data Mining (PPDM) has thus become an important issue in current years. In this paper, the authors propose an evolutionary privacy-preserving data mining technology to find appropriate method to perform secure transactions into a database.