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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| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Edition: | 1st ed. 2017. |
| Series: | Studies in Big Data,
28 |
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| Online Access: | https://doi.org/10.1007/978-3-319-57358-8 |
Table of Contents:
- Introduction
- Machine and Statistical Learning
- On the Classification of Protection Procedures
- User’s privacy
- Privacy Models and Disclosure Risk Measures
- Masking methods
- Information loss: evaluation and measures
- Selection of masking methods
- Conclusions.