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Privacy-preserving data publishing

Resource type
Thesis type
(Thesis) Ph.D.
Date created
The success of data mining relies on the availability of high quality data. To ensure quality data mining, effective information sharing between organizations become 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.
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