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Item Details
| Title:
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PRESERVING PRIVACY AGAINST SIDE-CHANNEL LEAKS
FROM DATA PUBLISHING TO WEB APPLICATIONS |
| Volume: |
2017 |
| By: |
Wen Ming Liu, Lingyu Wang |
| Format: |
Hardback |
| List price:
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£99.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
3319426427 |
| ISBN 13: |
9783319426426 |
| Publisher: |
SPRINGER INTERNATIONAL PUBLISHING AG |
| Pub. date: |
25 August, 2016 |
| Series: |
Advances in Information Security 68 |
| Pages: |
155 |
| Synopsis: |
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. |
| Illustrations: |
18 black & white illustrations, 1 colour illustrations, biography |
| Publication: |
Switzerland |
| Imprint: |
Springer International Publishing AG |
| Returns: |
Returnable |
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