Preserving Privacy Against Side-Channel Leaks
From Data Publishing to Web Applications
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-resis…
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Produktdetails
Weitere Autoren: Wang, Lingyu
- ISBN: 978-3-319-82626-4
- EAN: 9783319826264
- Produktnummer: 28393255
- Verlag: Springer International Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2018
- Seitenangabe: 156 S.
- Masse: H23.5 cm x B15.5 cm x D0.8 cm 248 g
- Auflage: Softcover reprint of the original 1st ed. 2016
- Abbildungen: Paperback
- Gewicht: 248
2 weitere Werke von Wen Ming Liu:
Preserving Privacy Against Side-Channel Leaks
From Data Publishing to Web Applications
From Data Publishing to Web Applications
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