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Policies and Research in Identity Management

Overview of attention for book
Cover of 'Policies and Research in Identity Management'

Table of Contents

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    Book Overview
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    Chapter 1 Towards Practical Attribute-Based Identity Management: The IRMA Trajectory
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    Chapter 2 Data Protection by Default in Identity-Related Applications
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    Chapter 3 Privacy-Friendly Checking of Remote Token Blacklists
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    Chapter 4 Concepts and Languages for Privacy-Preserving Attribute-Based Authentication
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    Chapter 5 Efficient Selective Disclosure on Smart Cards Using Idemix
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    Chapter 6 Identity Management and Integrity Protection in Publish-Subscribe Systems
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    Chapter 7 Extended HTTP Digest Access Authentication
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    Chapter 8 Executable Model-Based Risk Assessment Method for Identity Management Systems
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    Chapter 9 Position Paper: Privacy Risk Analysis Is about Understanding Conflicting Incentives
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    Chapter 10 Risk Analysis of Identity Management Approaches Employing Privacy Protection Goals
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    Chapter 11 The Radboud Reader: A Minimal Trusted Smartcard Reader for Securing Online Transactions
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    Chapter 12 Extending EMV Payment Smart Cards with Biometric On-Card Verification
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    Chapter 13 Dynamic Identity Federation Using Security Assertion Markup Language (SAML)
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    Chapter 14 Logout in Single Sign-on Systems
Attention for Chapter 13: Dynamic Identity Federation Using Security Assertion Markup Language (SAML)
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9 Mendeley
Summary
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Chapter title
Dynamic Identity Federation Using Security Assertion Markup Language (SAML)
Chapter number 13
Book title
Policies and Research in Identity Management
Published by
Springer, Berlin, Heidelberg, April 2013
DOI 10.1007/978-3-642-37282-7_13
Book ISBNs
978-3-64-237281-0, 978-3-64-237282-7
Authors

Md. Sadek Ferdous, Ron Poet

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Student > Master 2 22%
Student > Postgraduate 1 11%
Student > Bachelor 1 11%
Unknown 3 33%
Readers by discipline Count As %
Computer Science 6 67%
Unknown 3 33%

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