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Books > Computing & IT > Computer communications & networking > Network security
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Database Anonymization - Privacy Models, Data Utility, and Microaggregation-based Inter-model Connections (Paperback)
Loot Price: R897
Discovery Miles 8 970
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Database Anonymization - Privacy Models, Data Utility, and Microaggregation-based Inter-model Connections (Paperback)
Series: Synthesis Lectures on Information Security, Privacy, and Trust
Expected to ship within 9 - 17 working days
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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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