Data Privacy: Foundations, New Developments and the Big Data Challenge

✍ Scribed by Vicenç Torra (auth.)

• Publisher: Springer International Publishing
• Year: 2017
• Tongue: English
• Leaves: 279
• Series: Studies in Big Data 28
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xiv
Introduction....Pages 1-21
Machine and Statistical Learning....Pages 23-54
On the Classification of Protection Procedures....Pages 55-87
User’s Privacy....Pages 89-110
Privacy Models and Disclosure Risk Measures....Pages 111-189
Masking Methods....Pages 191-238
Information Loss: Evaluation and Measures....Pages 239-253
Selection of Masking Methods....Pages 255-258
Conclusions....Pages 259-260
Back Matter....Pages 261-269

✦ Subjects

Computational Intelligence;Artificial Intelligence (incl. Robotics)