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Trust and Trustworthy Computing

Overview of attention for book
Cover of 'Trust and Trustworthy Computing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Verifying Trustworthiness of Virtual Appliances in Collaborative Environments
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    Chapter 2 Towards a Trustworthy, Lightweight Cloud Computing Framework for Embedded Systems
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    Chapter 3 Side-Channel Analysis of PUFs and Fuzzy Extractors
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    Chapter 4 Coalition Resistant Anonymous Broadcast Encryption Scheme Based on PUF
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    Chapter 5 A Practical Device Authentication Scheme Using SRAM PUFs
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    Chapter 6 Practical Property-Based Attestation on Mobile Devices
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    Chapter 7 Taming Information-Stealing Smartphone Applications (on Android)
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    Chapter 8 Towards Permission-Based Attestation for the Android Platform
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    Chapter 9 Trusting to Learn: Trust and Privacy Issues in Serious Games
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    Chapter 10 Modifying Trust Dynamics through Cooperation and Defection in Evolving Social Networks
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    Chapter 11 Who Is Concerned about What? A Study of American, Chinese and Indian Users’ Privacy Concerns on Social Network Sites
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    Chapter 12 Systematic Security Assessment at an Early Processor Design Stage
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    Chapter 13 CPU Support for Secure Executables
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    Chapter 14 Extracting Device Fingerprints from Flash Memory by Exploiting Physical Variations
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    Chapter 15 Enforcing Executing-Implies-Verified with the Integrity-Aware Processor
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    Chapter 16 Home-Network Threats and Access Controls
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    Chapter 17 Contego: Capability-Based Access Control for Web Browsers
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    Chapter 18 Efficient Techniques for Privacy-Preserving Sharing of Sensitive Information
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    Chapter 19 CertainLogic: A Logic for Modeling Trust and Uncertainty
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    Chapter 20 AS-TRUST: A Trust Quantification Scheme for Autonomous Systems in BGP
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    Chapter 21 Incentivizing Responsible Networking via Introduction-Based Routing
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    Chapter 22 Catching the Cuckoo: Verifying TPM Proximity Using a Quote Timing Side-Channel
  24. Altmetric Badge
    Chapter 23 Group Distance Bounding Protocols
Attention for Chapter 3: Side-Channel Analysis of PUFs and Fuzzy Extractors
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
1 news outlet
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
53 Mendeley
citeulike
1 CiteULike
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Chapter title
Side-Channel Analysis of PUFs and Fuzzy Extractors
Chapter number 3
Book title
Trust and Trustworthy Computing
Published in
Lecture notes in computer science, June 2011
DOI 10.1007/978-3-642-21599-5_3
Book ISBNs
978-3-64-221598-8, 978-3-64-221599-5
Authors

Dominik Merli, Dieter Schuster, Frederic Stumpf, Georg Sigl, Merli, Dominik, Schuster, Dieter, Stumpf, Frederic, Sigl, Georg

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Japan 1 2%
France 1 2%
Austria 1 2%
Unknown 49 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 38%
Student > Master 11 21%
Researcher 8 15%
Student > Bachelor 2 4%
Student > Doctoral Student 1 2%
Other 1 2%
Unknown 10 19%
Readers by discipline Count As %
Computer Science 25 47%
Engineering 14 26%
Materials Science 1 2%
Physics and Astronomy 1 2%
Unknown 12 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 October 2020.
All research outputs
#2,302,012
of 22,971,207 outputs
Outputs from Lecture notes in computer science
#459
of 8,141 outputs
Outputs of similar age
#11,137
of 115,624 outputs
Outputs of similar age from Lecture notes in computer science
#1
of 64 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,141 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 115,624 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.