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Preserving Privacy Against Side-Channel Leaks: From Data Publishing to Web Applications 2016 Edition
Contributor(s): Liu, Wen Ming (Author), Wang, Lingyu (Author)

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 ISBN: 3319426427     ISBN-13: 9783319426426
Publisher: Springer
OUR PRICE: $104.49  

Binding Type: Hardcover - See All Available Formats & Editions
Published: October 2016
Qty:

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Additional Information
BISAC Categories:
- Computers | Security - Cryptography
- Computers | Internet - General
- Computers | Networking - Hardware
Dewey: 004.6
Series: Advances in Information Security
Physical Information: 0.44" H x 6.14" W x 9.21" L (0.88 lbs) 142 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
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.
 
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