Preserving Privacy Against Side-Channel Leaks [electronic resource] From Data Publishing to Web Applications / by Wen Ming Liu, Lingyu Wang.
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 str...
| Uniform Title: | Advances in Information Security,
2512-2193 ; 68 |
|---|---|
| Main Authors: | |
| Corporate Author: | |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
|
| Edition: | 1st ed. 2016. |
| Series: | Advances in Information Security,
68 |
| Subjects: | |
| Online Access: | |
| Variant Title: |
Preserving Privacy Against Side-Channel Leaks: From Data Publishing to Web Applications |
| Format: | Electronic eBook |
MARC
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| 100 | 1 | |a Liu, Wen Ming. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Preserving Privacy Against Side-Channel Leaks |h [electronic resource] |b From Data Publishing to Web Applications / |c by Wen Ming Liu, Lingyu Wang. |
| 246 | 2 | |a Preserving Privacy Against Side-Channel Leaks: From Data Publishing to Web Applications | |
| 250 | |a 1st ed. 2016. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2016. | |
| 490 | 1 | |a Advances in Information Security, |x 2512-2193 ; |v 68 | |
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Data protection. | |
| 650 | 0 | |a Cryptography. | |
| 650 | 0 | |a Data encryption (Computer science). | |
| 650 | 0 | |a Computer networks . | |
| 700 | 1 | |a Wang, Lingyu. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
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| 776 | 0 | 8 | |i Printed edition: |z 9783319826264 |
| 776 | 1 | |t Preserving Privacy Against Side-Channel Leaks | |
| 830 | 0 | |a Advances in Information Security, |x 2512-2193 ; |v 68 | |
| 856 | 4 | 0 | |y Access Content Online(from Springer Computer Science eBooks 2016 English/International) |u https://ezproxy.msu.edu/login?url=https://link.springer.com/10.1007/978-3-319-42644-0 |z Springer Computer Science eBooks 2016 English/International: 2016 |