Attribute-Based Encryption and Access Control

Attribute-Based Encryption and Access Control

EnglishHardbackPrint on demand
Huang, Dijiang
Taylor & Francis Inc
EAN: 9780815381358
Print on demand
Delivery on Friday, 7. of August 2026
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Detailed information

This book covers a broader scope of Attribute-Based Encryption (ABE), from the background knowledge, to specific constructions, theoretic proofs, and applications. The goal is to provide in-depth knowledge usable for college students and researchers who want to have a comprehensive understanding of ABE schemes and novel ABE-enabled research and applications. The specific focus is to present the development of using new ABE features such as group-based access, ID-based revocation, and attributes management functions such as delegation, federation, and interoperability. These new capabilities can build a new ABE-based Attribute-Based Access Control (ABAC) solution that can incorporate data access policies and control into ciphertext. This book is also ideal for IT companies to provide them with the most recent technologies and research on how to implement data access control models for mobile and data-centric applications, where data access control does not need to rely on a fixed access control infrastructure. It’s also of interested to those working in security, to enable them to have the most recent developments in data access control such as ICN and Blockchain technologies.

Features

    • Covers cryptographic background knowledge for ABE and ABAC
    • Features various ABE constructions to achieve integrated access control capabilities
    • Offers a comprehensive coverage of ABE-based ABAC
    • Provides ABE applications with real-world examples
    • Advances the ABE research to support new mobile and data-centric applications
EAN 9780815381358
ISBN 0815381352
Binding Hardback
Publisher Taylor & Francis Inc
Publication date March 4, 2020
Pages 309
Language English
Dimensions 234 x 156
Country United States
Readership Tertiary Education
Authors Dong, Qiuxiang; Huang, Dijiang; Zhu Yan
Illustrations 48 Tables, black and white; 55 Illustrations, black and white
Series Data-Enabled Engineering
Manufacturer information
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