1 option
Preserving Privacy Against Side-Channel Leaks : From Data Publishing to Web Applications / by Wen Ming Liu, Lingyu Wang.
- Format:
- Book
- Author/Creator:
- Liu, Wenming, author.
- Wang, Lingyu, author.
- Series:
- Computer Science (Springer-11645)
- Advances in information security 1568-2633 ; 68.
- Advances in Information Security, 1568-2633 ; 68
- Language:
- English
- Subjects (All):
- Computer security.
- Data encryption (Computer science).
- Computers.
- Computer networks.
- Systems and Data Security.
- Cryptology.
- Information Systems and Communication Service.
- Computer Communication Networks.
- Local Subjects:
- Systems and Data Security.
- Cryptology.
- Information Systems and Communication Service.
- Computer Communication Networks.
- Physical Description:
- 1 online resource (XIII, 142 pages) : 19 illustrations, 1 illustrations in color.
- Edition:
- First edition 2016.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2016.
- System Details:
- text file PDF
- Summary:
- 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.
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-42644-0
- 9783319426440
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.