Preserving Privacy Against Side-Channel Leaks

From Data Publishing to Web Applications
 Paperback
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ISBN-13:
9783319826264
Einband:
Paperback
Erscheinungsdatum:
22.04.2018
Seiten:
156
Autor:
Wen Ming Liu
Gewicht:
248 g
Format:
235x155x8 mm
Sprache:
Englisch
Beschreibung:

Provides readers with insights into three important data privacy domains: data publishing, Web application, and smart meteringPresents the similarities between seemingly different side-channels attacks in various domainsReveals promising future directions towards generic privacy solutions that are resistant to side channel attacks
Introduction.- Related Work.- Data Publishing: Trading off Privacy with Utility through the k-Jump Strategy.- Data Publishing: A Two-Stage Approach to Improving Algorithm Efficiency.- Web Applications: k-Indistinguishable Traffic Padding.- Web Applications: Background-Knowledge Resistant Random Padding.- Smart Metering: Inferences of Appliance Status from Fine-Grained Readings.- The Big Picture: A Generic Model of Side-Channel Leaks.- Conclusion.
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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