Privacy-Preserving Estimation

Data mining has evolved from a need to make sense of the enormous amounts of data generated by organizations. But data mining comes with its own cost, including possible threats to the confidentiality and privacy of individuals. This chapter presents a background on privacy-preserving data mining (PPDM) and the related field of statistical disclosure limitation (SDL). We then focus on privacy-preserving estimation (PPE) and the need for a data-centric approach (DCA) to PPDM. The chapter concludes by presenting some possible future trends.