Description: Preserving Privacy Against Side-channel Leaks : From Data Publishing to Web Applications, Paperback by Liu, Wen Ming; Wang, Lingyu, ISBN 3319826263, ISBN-13 9783319826264, Like New Used, Free shipping in the US 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, th 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, th 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, th 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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Book Title: Preserving Privacy Against Side-channel Leaks : From Data Publish
Number of Pages: Xiii, 142 Pages
Language: English
Publication Name: Preserving Privacy Against Side-Channel Leaks : from Data Publishing to Web Applications
Publisher: Springer International Publishing A&G
Item Height: 0.3 in
Subject: Security / Cryptography, Networking / General, Security / General
Publication Year: 2018
Type: Textbook
Item Weight: 87 Oz
Author: Wen Ming Liu, Lingyu Wang
Subject Area: Computers
Item Length: 9.2 in
Series: Advances in Information Security Ser.
Item Width: 6.1 in
Format: Trade Paperback
