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Trust Management XI

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Cover of 'Trust Management XI'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Partial Commitment – “Try Before You Buy” and “Buyer’s Remorse” for Personal Data in Big Data & Machine Learning
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    Chapter 2 VIGraph – A Framework for Verifiable Information
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    Chapter 3 A Flexible Privacy-Preserving Framework for Singular Value Decomposition Under Internet of Things Environment
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    Chapter 4 The Game of Trust: Using Behavioral Experiment as a Tool to Assess and Collect Trust-Related Data
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    Chapter 5 Social Network Analysis for Trust Prediction
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    Chapter 6 Investigating Security Capabilities in Service Level Agreements as Trust-Enhancing Instruments
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    Chapter 7 Managing Software Uninstall with Negative Trust
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    Chapter 8 Towards Trust-Aware Collaborative Intrusion Detection: Challenges and Solutions
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    Chapter 9 Self-trust, Self-efficacy and Digital Learning
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    Chapter 10 Advanced Flow Models for Computing the Reputation of Internet Domains
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    Chapter 11 Trust Trust Me (The Additivity)
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    Chapter 12 Towards Statistical Trust Computation for Medical Smartphone Networks Based on Behavioral Profiling
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    Chapter 13 Reputation-Enhanced Recommender Systems
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    Chapter 14 Self-reported Verifiable Reputation with Rater Privacy
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    Chapter 15 Strong Accountability and Its Contribution to Trustworthy Data Handling in the Information Society
Attention for Chapter 6: Investigating Security Capabilities in Service Level Agreements as Trust-Enhancing Instruments
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Chapter title
Investigating Security Capabilities in Service Level Agreements as Trust-Enhancing Instruments
Chapter number 6
Book title
Trust Management XI
Published by
Springer, Cham, June 2017
DOI 10.1007/978-3-319-59171-1_6
Book ISBNs
978-3-31-959170-4, 978-3-31-959171-1
Authors

Yudhistira Nugraha, Andrew Martin

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 18%
Student > Ph. D. Student 1 9%
Student > Doctoral Student 1 9%
Lecturer 1 9%
Unknown 6 55%
Readers by discipline Count As %
Computer Science 3 27%
Business, Management and Accounting 1 9%
Psychology 1 9%
Unknown 6 55%