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…
Mehr
CHF 150.00
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
V104:
Folgt in ca. 10 Arbeitstagen
Produktdetails
Weitere Autoren: Wang, Lingyu
- ISBN: 978-3-319-42642-6
- EAN: 9783319426426
- Produktnummer: 20073326
- Verlag: Springer International Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2016
- Seitenangabe: 156 S.
- Masse: H24.4 cm x B16.1 cm x D1.7 cm 386 g
- Auflage: 1st ed. 2016
- Abbildungen: HC runder Rücken kaschiert
- Gewicht: 386
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
Ebook (PDF Format)
CHF 130.00
Bewertungen
Anmelden