Preserving Privacy Against Side-channel Leaks: From Data Publishing To Web Applications by Wen Ming LiuPreserving Privacy Against Side-channel Leaks: From Data Publishing To Web Applications by Wen Ming Liu

Preserving Privacy Against Side-channel Leaks: From Data Publishing To Web Applications

byWen Ming Liu, Lingyu Wang

Hardcover | October 19, 2016

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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.

Title:Preserving Privacy Against Side-channel Leaks: From Data Publishing To Web ApplicationsFormat:HardcoverDimensions:142 pages, 23.5 × 15.5 × 0.25 inPublished:October 19, 2016Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319426427

ISBN - 13:9783319426426

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Table of Contents

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.