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| Artikel-Nr.: 5667A-9783319426426 Herst.-Nr.: 9783319426426 EAN/GTIN: 9783319426426 |
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![](/p.gif) | 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. Weitere Informationen: ![](/p.gif) | ![](/p.gif) | Author: | Wen Ming Liu; Lingyu Wang | Verlag: | Springer International Publishing | Sprache: | eng |
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![](/p.gif) | Weitere Suchbegriffe: allgemeine Informatikbücher - englischsprachig, allgemeine informatikbücher - englischsprachig, Datensicherheit, Datensicherung, Sicherheit / Datensicherheit, Datenverarbeitung / Datenverschlüsselung, Kryptografie, Netzwerk (elektronisch), dataprivacy; datapublishing; privacypreservation; side-channelattack; Publicalgorithm; K-anonymity; I-Diversity; Trafficpadding; Webapplication; SmartMetering, Data privacy, Data publishing, Privacy preservation, Side-channel attack, Public algorithm |
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