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Preserving Privacy Against Side-Channel Leaks

From Data Publishing to Web Applications

  • Book
  • © 2016

Overview

  • Provides readers with insights into three important data privacy domains: data publishing, Web application, and smart metering
  • Presents the similarities between seemingly different side-channels attacks in various domains
  • Reveals promising future directions towards generic privacy solutions that are resistant to side channel attacks
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Information Security (ADIS, volume 68)

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Table of contents (8 chapters)

Keywords

About this book

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.


Authors and Affiliations

  • Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada

    Wen Ming Liu, Lingyu Wang

Bibliographic Information

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