Overview
- Provides readers with insights into three important data privacy domains: data publishing, Web application, and smart metering
- Presents the similarities between seemingly different side-channels attacks in various domains
- Reveals promising future directions towards generic privacy solutions that are resistant to side channel attacks
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Information Security (ADIS, volume 68)
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About this book
This book offers a novel approach to data privacy by unifying side-channel attacks within a general conceptual framework. This book then applies the framework in three concrete domains.
First, the book examines privacy-preserving data publishing with publicly-known algorithms, studying a generic strategy independent of data utility measures and syntactic privacy properties before discussing an extended approach to improve the efficiency. Next, the book explores privacy-preserving traffic padding in Web applications, first via a model to quantify privacy and cost and then by introducing randomness to provide background knowledge-resistant privacy guarantee. Finally, the book considers privacy-preserving smart metering by proposing a light-weight approach to simultaneously preserving users' privacy and ensuring billing accuracy.
Designed for researchers and professionals, this book is also suitable for advanced-level students interested in privacy, algorithms, or web applications.
First, the book examines privacy-preserving data publishing with publicly-known algorithms, studying a generic strategy independent of data utility measures and syntactic privacy properties before discussing an extended approach to improve the efficiency. Next, the book explores privacy-preserving traffic padding in Web applications, first via a model to quantify privacy and cost and then by introducing randomness to provide background knowledge-resistant privacy guarantee. Finally, the book considers privacy-preserving smart metering by proposing a light-weight approach to simultaneously preserving users' privacy and ensuring billing accuracy.
Designed for researchers and professionals, this book is also suitable for advanced-level students interested in privacy, algorithms, or web applications.
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Keywords
Table of contents (8 chapters)
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Front Matter
Authors and Affiliations
Bibliographic Information
Book Title: Preserving Privacy Against Side-Channel Leaks
Book Subtitle: From Data Publishing to Web Applications
Authors: Wen Ming Liu, Lingyu Wang
Series Title: Advances in Information Security
DOI: https://doi.org/10.1007/978-3-319-42644-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-42642-6Published: 19 October 2016
Softcover ISBN: 978-3-319-82626-4Published: 22 April 2018
eBook ISBN: 978-3-319-42644-0Published: 24 August 2016
Series ISSN: 1568-2633
Series E-ISSN: 2512-2193
Edition Number: 1
Number of Pages: XIII, 142
Number of Illustrations: 18 b/w illustrations, 1 illustrations in colour
Topics: Systems and Data Security, Cryptology, Information Systems and Communication Service, Computer Communication Networks