↓ Skip to main content

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
  9. Altmetric Badge
    Chapter 8 Lightweight Distributed Heterogeneous Attested Android Clouds
  10. Altmetric Badge
    Chapter 9 Converse PUF-Based Authentication
  11. Altmetric Badge
    Chapter 10 Trustworthy Execution on Mobile Devices: What Security Properties Can My Mobile Platform Give Me ?
  12. Altmetric Badge
    Chapter 11 Verifying System Integrity by Proxy
  13. Altmetric Badge
    Chapter 12 Virtualization Based Password Protection against Malware in Untrusted Operating Systems
  14. Altmetric Badge
    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 3: Lockdown: Towards a Safe and Practical Architecture for Security Applications on Commodity Platforms
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
27 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Lockdown: Towards a Safe and Practical Architecture for Security Applications on Commodity Platforms
Chapter number 3
Book title
Trust and Trustworthy Computing
Published in
Lecture notes in computer science, June 2012
DOI 10.1007/978-3-642-30921-2_3
Book ISBNs
978-3-64-230920-5, 978-3-64-230921-2
Authors

Amit Vasudevan, Bryan Parno, Ning Qu, Virgil D. Gligor, Adrian Perrig, Vasudevan, Amit, Parno, Bryan, Qu, Ning, Gligor, Virgil D., Perrig, Adrian

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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 7%
Japan 1 4%
Unknown 24 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 37%
Researcher 5 19%
Other 4 15%
Student > Master 3 11%
Student > Doctoral Student 1 4%
Other 3 11%
Unknown 1 4%
Readers by discipline Count As %
Computer Science 24 89%
Engineering 2 7%
Social Sciences 1 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 October 2014.
All research outputs
#13,065,369
of 22,766,595 outputs
Outputs from Lecture notes in computer science
#3,905
of 8,125 outputs
Outputs of similar age
#91,078
of 167,359 outputs
Outputs of similar age from Lecture notes in computer science
#34
of 62 outputs
Altmetric has tracked 22,766,595 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,125 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 51% 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 167,359 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
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 is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.