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Security and Trust Management

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Cover of 'Security and Trust Management'

Table of Contents

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    Book Overview
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    Chapter 1 An Auto-delegation Mechanism for Access Control Systems
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    Chapter 2 Automated Symbolic Analysis of ARBAC-Policies
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    Chapter 3 Influence of Attribute Freshness on Decision Making in Usage Control
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    Chapter 4 Rewrite Specifications of Access Control Policies in Distributed Environments
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    Chapter 5 A Case Study in Decentralized, Dynamic, Policy-Based, Authorization and Trust Management – Automated Software Distribution for Airplanes
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    Chapter 6 GUTS: A Framework for Adaptive and Configureable Grid User Trust Service
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    Chapter 7 Aggregating Trust Using Triangular Norms in the KeyNote Trust Management System
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    Chapter 8 An Authentication Trust Metric for Federated Identity Management Systems
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    Chapter 9 A Trust-Augmented Voting Scheme for Collaborative Privacy Management
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    Chapter 10 Universally Composable NIZK Protocol in an Internet Voting Scheme
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    Chapter 11 Protocol Analysis Modulo Combination of Theories: A Case Study in Maude-NPA
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    Chapter 12 Defamation-Free Networks through User-Centered Data Control
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    Chapter 13 InDico : Information Flow Analysis of Business Processes for Confidentiality Requirements
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    Chapter 14 Stateful Authorization Logic:
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    Chapter 15 Privacy-Friendly Energy-Metering via Homomorphic Encryption
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    Chapter 16 Extending an RFID Security and Privacy Model by Considering Forward Untraceability
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    Chapter 17 Protecting Privacy of Sensitive Value Distributions in Data Release
Attention for Chapter 9: A Trust-Augmented Voting Scheme for Collaborative Privacy Management
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Chapter title
A Trust-Augmented Voting Scheme for Collaborative Privacy Management
Chapter number 9
Book title
Security and Trust Management
Published in
Lecture notes in computer science, January 2011
DOI 10.1007/978-3-642-22444-7_9
Book ISBNs
978-3-64-222443-0, 978-3-64-222444-7
Authors

Sun, Yanjie, Zhang, Chenyi, Pang, Jun, Alcade, Baptiste, Mauw, Sjouke, Yanjie Sun, Chenyi Zhang, Jun Pang, Baptiste Alcade, Sjouke Mauw

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 3 30%
Professor 1 10%
Student > Ph. D. Student 1 10%
Student > Master 1 10%
Unknown 4 40%
Readers by discipline Count As %
Computer Science 2 20%
Economics, Econometrics and Finance 2 20%
Engineering 1 10%
Unknown 5 50%