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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 Authenticated Encryption Primitives for Size-Constrained Trusted Computing
  3. Altmetric Badge
    Chapter 2 Auditable Envelopes: Tracking Anonymity Revocation Using Trusted Computing
  4. Altmetric Badge
    Chapter 3 Lockdown: Towards a Safe and Practical Architecture for Security Applications on Commodity Platforms
  5. Altmetric Badge
    Chapter 4 Experimenting with Fast Private Set Intersection
  6. Altmetric Badge
    Chapter 5 Reliable Device Sharing Mechanisms for Dual-OS Embedded Trusted Computing
  7. Altmetric Badge
    Chapter 6 Modelling User-Centered-Trust (UCT) in Software Systems: Interplay of Trust, Affect and Acceptance Model
  8. Altmetric Badge
    Chapter 7 Clockless Physical Unclonable Functions
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    Chapter 8 Lightweight Distributed Heterogeneous Attested Android Clouds
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    Chapter 9 Converse PUF-Based Authentication
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    Chapter 10 Trustworthy Execution on Mobile Devices: What Security Properties Can My Mobile Platform Give Me ?
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    Chapter 11 Verifying System Integrity by Proxy
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    Chapter 12 Virtualization Based Password Protection against Malware in Untrusted Operating Systems
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    Chapter 13 SmartTokens: Delegable Access Control with NFC-Enabled Smartphones
  15. Altmetric Badge
    Chapter 14 A Belief Logic for Analyzing Security of Web Protocols
  16. Altmetric Badge
    Chapter 15 Provenance-Based Model for Verifying Trust-Properties
  17. Altmetric Badge
    Chapter 16 On the Practicality of Motion Based Keystroke Inference Attack
  18. Altmetric Badge
    Chapter 17 AndroidLeaks: Automatically Detecting Potential Privacy Leaks in Android Applications on a Large Scale
  19. Altmetric Badge
    Chapter 18 Why Trust Seals Don’t Work: A Study of User Perceptions and Behavior
  20. Altmetric Badge
    Chapter 19 Launching the New Profile on Facebook: Understanding the Triggers and Outcomes of Users’ Privacy Concerns
Attention for Chapter 18: Why Trust Seals Don’t Work: A Study of User Perceptions and Behavior
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

policy
1 policy source
twitter
3 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
38 Mendeley
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Chapter title
Why Trust Seals Don’t Work: A Study of User Perceptions and Behavior
Chapter number 18
Book title
Trust and Trustworthy Computing
Published in
Lecture notes in computer science, June 2012
DOI 10.1007/978-3-642-30921-2_18
Book ISBNs
978-3-64-230920-5, 978-3-64-230921-2
Authors

Iacovos Kirlappos, M. Angela Sasse, Nigel Harvey, Stefan Katzenbeisser, Edgar Weippl, L. Jean Camp, Melanie Volkamer, Mike Reiter, Xinwen Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
United Kingdom 1 3%
Germany 1 3%
Unknown 34 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 16%
Student > Ph. D. Student 6 16%
Student > Doctoral Student 5 13%
Researcher 5 13%
Student > Bachelor 3 8%
Other 8 21%
Unknown 5 13%
Readers by discipline Count As %
Computer Science 14 37%
Psychology 7 18%
Engineering 3 8%
Business, Management and Accounting 2 5%
Economics, Econometrics and Finance 2 5%
Other 2 5%
Unknown 8 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 23 March 2014.
All research outputs
#5,458,129
of 22,749,166 outputs
Outputs from Lecture notes in computer science
#1,710
of 8,126 outputs
Outputs of similar age
#38,299
of 167,310 outputs
Outputs of similar age from Lecture notes in computer science
#13
of 62 outputs
Altmetric has tracked 22,749,166 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 78% 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 167,310 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.