Privacy-Preserving Data Publishing

Abstract

The success of data mining relies on the availability of high quality data.To ensure quality data mining, effective information sharing between organizations becomes a vital requirement in today's society.Since data mining often involves person-specific and sensitive information like medical records, the public has expressed a deep concern about their privacy.Privacy-preserving data publishing is a study of eliminating privacy threats while, at the same time, preserving useful information in the released data for data mining.It is different from the study of privacy-preserving data mining which performs some actual data mining task.This thesis identifies a collection of privacy threats in real life data publishing, and presents a unified solution to address these threats.