Preserving Privacy Against Side-Channel Leaks (eBook)

From Data Publishing to Web Applications

Wen Ming Liu, Lingyu Wang (Autoren)

eBook Download: PDF

2016 | 1st ed. 2016
XIII, 142 Seiten
Springer International Publishing (Verlag)
978-3-319-42644-0 (ISBN)

Infos

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.

Inhalt

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.

Produkt-Details

• Erscheint lt. Verlag: 24.8.2016
• Reihe/Serie: Advances in Information Security
• Reihe/Serie: Advances in Information Security
• Zusatzinfo: XIII, 142 p. 19 illus., 1 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Informatik ► Netzwerke ► Sicherheit / Firewall
• Themenwelt: Mathematik / Informatik ► Informatik ► Web / Internet
• Schlagworte: data privacy • data publishing • I-Diversity • K-anonymity • privacy preservation • Public algorithm • side-channel attack • Smart Metering • Traffic padding • Web application
• ISBN-10: 3-319-42644-3 / 3319426443
• ISBN-13: 978-3-319-42644-0 / 9783319426440