Managing Privacy Risks Through Data Anonymization
Breaches of personal information are a growing concern for the public and represent significant financial and legal risk to enterprises. This risk can be effectively managed by classifying business functions into those that need personal information and those that do not. Anonymization methods can be used in the latter cases. In this Executive Report, Khaled El Emam presents a five-level descriptive framework for determining the identifiability of data and also reviews data anonymization methods.
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