Preserving Privacy Against Side-Channel Leaks: From Data Publishing to Web Applications

✍ Scribed by Wen Ming Liu, Lingyu Wang (auth.)

Publisher: Springer International Publishing
Year: 2016
Tongue: English
Leaves: 154
Series: Advances in Information Security 68
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ 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.

✦ Table of Contents

Front Matter....Pages i-xiii
Introduction....Pages 1-6
Related Work....Pages 7-16
Data Publishing: Trading Off Privacy with Utility Through the k-Jump Strategy....Pages 17-44
Data Publishing: A Two-Stage Approach to Improving Algorithm Efficiency....Pages 45-70
Web Applications: k-Indistinguishable Traffic Padding....Pages 71-97
Web Applications: Background-Knowledge Resistant Random Padding....Pages 99-123
Smart Metering: Inferences of Appliance Status from Fine-Grained Readings....Pages 125-132
The Big Picture: A Generic Model of Side-Channel Leaks....Pages 133-142

✦ Subjects

Systems and Data Security;Data Encryption;Information Systems and Communication Service;Computer Communication Networks

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