EAN: 9783031012198

SYNTHESIS LECTURES ON INFORMATION SECURITY PRIV...

The current social and economic context increasingly demands open data to improve scientific
research and decision making. However  when published data refer to individual respondents 
disclosure risk limitation techniques must be implemented to anonymize the data and guarantee
by design the fundamental right to privacy of the subjects the data refer to. Disclosure risk
limitation has a long record in the statistical and computer science research communities  who
have developed a variety of privacy-preserving solutions for data releases. This Synthesis
Lecture provides a comprehensive overview of the fundamentals of privacy in data releases
focusing on the computer science perspective. Specifically  we detail the privacy models 
anonymization methods  and utility and risk metrics that have been proposed so far in the
literature. Besides  as a more advanced topic  we identify and discuss in detail connections
between several privacy models (i.e.  how to accumulate the privacy guarantees they offer to
achieve more robust protection and when such guarantees are equivalent or complementary)  we
also explore the links between anonymization methods and privacy models (how anonymization
methods can be used to enforce privacy models and thereby offer ex ante privacy guarantees).
These latter topics are relevant to researchers and advanced practitioners  who will gain a
deeper understanding on the available data anonymization solutions and the privacy guarantees
they can offer.

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