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 Author | |
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| Format | Electronic eBook |
| Language | English |
| Published |
Cham :
Springer International Publishing,
2017.
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| Series | Studies in big data.
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| Subjects | |
| Online Access | Full text |
| ISBN | 9783319573588 9783319573564 |
| Physical Description | 1 online resource (xiv, 269 pages) : illustrations |
Cover
| 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 for respondent, holder and user privacy. It also discusses specific data privacy problems and solutions for readers who need to deal with big data. |
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| Item Description: | 5.8.1 k-Anonymity and Anonymity Sets: k-Confusion. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9783319573588 9783319573564 |
| Access: | Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty |
| Physical Description: | 1 online resource (xiv, 269 pages) : illustrations |