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Trust Management XIII

Overview of attention for book
Cover of 'Trust Management XIII'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 GDPR Modelling for Log-Based Compliance Checking
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    Chapter 2 A Role and Trust Access Control Model for Preserving Privacy and Image Anonymization in Social Networks
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    Chapter 3 Why We Trust Dynamic Consent to Deliver on Privacy
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    Chapter 4 The Reputation Lag Attack
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    Chapter 5 An Unforeseen Equivalence Between Uncertainty and Entropy
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    Chapter 6 User Recognition Based on Daily Actigraphy Patterns
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    Chapter 7 Value-Based Core Areas of Trustworthiness in Online Services
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    Chapter 8 Trusting the IoT: There Is More to Trust Than Trustworthiness
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    Chapter 9 A Granular Approach to Source Trustworthiness for Negative Trust Assessment
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    Chapter 10 A Fair (t, n)-Threshold Secret Sharing Scheme with Efficient Cheater Identifying
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    Chapter 12 CrowdLED: Towards Crowd-Empowered and Privacy-Preserving Data Sharing Using Smart Contracts
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    Chapter 13 SDKSE-KGA: A Secure Dynamic Keyword Searchable Encryption Scheme Against Keyword Guessing Attacks
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    Chapter 14 On Trust Confusional, Trust Ignorant, and Trust Transitions
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    Chapter 15 A Framework for Blockchain-Based Verification of Integrity and Authenticity
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    Chapter 16 TPL: A Trust Policy Language
Attention for Chapter 8: Trusting the IoT: There Is More to Trust Than Trustworthiness
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Readers on

mendeley
10 Mendeley
Summary
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Chapter title
Trusting the IoT: There Is More to Trust Than Trustworthiness
Chapter number 8
Book title
Trust Management XIII
Published by
Springer, Cham, October 2019
DOI 10.1007/978-3-030-33716-2_8
Book ISBNs
978-3-03-033715-5, 978-3-03-033716-2
Authors

Piotr Cofta, Cofta, Piotr

View on publisher site
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 > Ph. D. Student 3 30%
Student > Master 2 20%
Researcher 1 10%
Unknown 4 40%
Readers by discipline Count As %
Computer Science 5 50%
Engineering 1 10%
Unknown 4 40%

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