Data privacy : foundations, new developments and the big data challenge /
This book offers a broad, cohesive overview of the field of data privacy. It discusses, from a technological perspective, the problems and solutions of the three main communities working on data privacy: statistical disclosure control (those with a statistical background), privacy-preserving data mi...
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Main Authors: | |
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Published: |
Springer,
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Publisher Address: | Cham, Switzerland : |
Publication Dates: | [2017] |
Literature type: | Book |
Language: | English |
Series: |
Studies in big data,
volume 28 |
Subjects: | |
Summary: |
This book offers a broad, cohesive overview of the field of data privacy. It discusses, from a technological perspective, the problems and solutions of the three main communities working on data privacy: statistical disclosure control (those with a statistical background), privacy-preserving data mining (those working with data bases and data mining), and privacy-enhancing technologies (those involved in communications and security) communities. Presenting different approaches, the book describes alternative privacy models and disclosure risk measures as well as data protection procedures fo |
Carrier Form: | xiv, 269 pages : illustrations ; 25 cm. |
Bibliography: | Includes bibliographical references and index. |
ISBN: |
9783319573564 331957356X |
Index Number: | QA76 |
CLC: | TP309.2 |
Call Number: | TP309.2/T688 |