Description: Preserving Privacy Against Side-Channel Leaks Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). From Data Publishing to Web Applications Author(s): Wen Ming Liu, Lingyu Wang Format: Paperback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319826264, 978-3319826264 Synopsis 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.
Price: 72.79 GBP
Location: Aldershot
End Time: 2024-11-12T09:28:18.000Z
Shipping Cost: 37.3 GBP
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Book Title: Preserving Privacy Against Side-Channel Leaks
Number of Pages: 142 Pages
Language: English
Publication Name: Preserving Privacy Against Side-Channel Leaks: from Data Publishing to Web Applications
Publisher: Springer International Publishing A&G
Publication Year: 2018
Subject: Computer Science
Item Height: 235 mm
Item Weight: 2467 g
Type: Textbook
Author: Lingyu Wang, Wen Ming Liu
Series: Advances in Information Security
Item Width: 155 mm
Format: Paperback
