Автор: Katsikas Название: Trust, Privacy and Security in Digital Business ISBN: 3319443402 ISBN-13(EAN): 9783319443409 Издательство: Springer Рейтинг: Цена: 5870.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 13th International Conference on Trust, Privacy and Security in Digital Business, TrustBus 2016, held in Porto, Portugal, in September 2016 in conjunction with DEXA 2016. The papers are organized in the following topical sections: security, privacy and trust in eServices;
Описание: This book constitutes the refereed proceedings of the 9th International Conference on on Security, Privacy and Anonymity in Computation, Communication and Storage, SpaCCS 2016, held in Zhangjiajie, China, in November 2016. The 40 papers presented in this volume were carefully reviewed and selected from 110 submissions.
Автор: Carlet Название: Security, Privacy, and Applied Cryptography Engineering ISBN: 3319494449 ISBN-13(EAN): 9783319494449 Издательство: Springer Рейтинг: Цена: 9224.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 6th International Conference on Security, Privacy, and Applied Cryptography Engineering, SPACE 2016, held in Hyderabad, India, in December 2016. This annual event is devoted to various aspects of security, privacy, applied cryptography, and cryptographic engineering.
Автор: Liu Название: Preserving Privacy Against Side-Channel Leaks ISBN: 3319426427 ISBN-13(EAN): 9783319426426 Издательство: Springer Рейтинг: Цена: 10760.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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.
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