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Emerging Technologies for Authorization and Authentication

Overview of attention for book
Cover of 'Emerging Technologies for Authorization and Authentication'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Logics to Reason Formally About Trust Computation and Manipulation
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    Chapter 2 An Authorization Framework for Cooperative Intelligent Transport Systems
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    Chapter 3 A Framework for the Validation of Access Control Systems
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    Chapter 4 The Structure and Agency Policy Language (SAPL) for Attribute Stream-Based Access Control (ASBAC)
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    Chapter 5 NoCry : No More Secure Encryption Keys for Cryptographic Ransomware
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    Chapter 6 Security Requirements for Store-on-Client and Verify-on-Server Secure Biometric Authentication
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    Chapter 7 Reflexive Memory Authenticator: A Proposal for Effortless Renewable Biometrics
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    Chapter 8 Collaborative Authentication Using Threshold Cryptography
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    Chapter 9 MuFASA: A Tool for High-level Specification and Analysis of Multi-factor Authentication Protocols
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    Chapter 10 A Risk-Driven Model to Minimize the Effects of Human Factors on Smart Devices
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    Chapter 11 A Formal Security Analysis of the $$p\equiv p$$ Authentication Protocol for Decentralized Key Distribution and End-to-End Encrypted Email
Attention for Chapter 8: Collaborative Authentication Using Threshold Cryptography
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Chapter title
Collaborative Authentication Using Threshold Cryptography
Chapter number 8
Book title
Emerging Technologies for Authorization and Authentication
Published by
Springer, Cham, September 2019
DOI 10.1007/978-3-030-39749-4_8
Book ISBNs
978-3-03-039748-7, 978-3-03-039749-4
Authors

Aysajan Abidin, Abdelrahaman Aly, Mustafa A. Mustafa, Abidin, Aysajan, Aly, Abdelrahaman, Mustafa, Mustafa A.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Student > Ph. D. Student 1 13%
Student > Master 1 13%
Unknown 4 50%
Readers by discipline Count As %
Computer Science 3 38%
Social Sciences 1 13%
Unknown 4 50%

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