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Engineering Secure Software and Systems

Overview of attention for book
Cover of 'Engineering Secure Software and Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Security Testing Beyond Functional Tests
  3. Altmetric Badge
    Chapter 2 Progress-Sensitive Security for SPARK
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    Chapter 3 Sound and Precise Cross-Layer Data Flow Tracking
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    Chapter 4 Automatically Extracting Threats from Extended Data Flow Diagrams
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    Chapter 5 On the Static Analysis of Hybrid Mobile Apps
  7. Altmetric Badge
    Chapter 6 Semantics-Based Repackaging Detection for Mobile Apps
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    Chapter 7 Accelerometer-Based Device Fingerprinting for Multi-factor Mobile Authentication
  9. Altmetric Badge
    Chapter 8 POODLEs, More POODLEs, FREAK Attacks Too: How Server Administrators Responded to Three Serious Web Vulnerabilities
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    Chapter 9 HexPADS: A Platform to Detect “Stealth” Attacks
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    Chapter 10 Analyzing the Gadgets
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    Chapter 11 Empirical Analysis and Modeling of Black-Box Mutational Fuzzing
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    Chapter 12 On the Security Cost of Using a Free and Open Source Component in a Proprietary Product
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    Chapter 13 Idea: Usable Platforms for Secure Programming – Mining Unix for Insight and Guidelines
  15. Altmetric Badge
    Chapter 14 AppPAL for Android
  16. Altmetric Badge
    Chapter 15 Inferring Semantic Mapping Between Policies and Code: The Clue is in the Language
  17. Altmetric Badge
    Chapter 16 Idea: Supporting Policy-Based Access Control on Database Systems
  18. Altmetric Badge
    Chapter 17 Idea: Enforcing Security Properties by Solving Behavioural Equations
Attention for Chapter 12: On the Security Cost of Using a Free and Open Source Component in a Proprietary Product
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
26 Mendeley
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Chapter title
On the Security Cost of Using a Free and Open Source Component in a Proprietary Product
Chapter number 12
Book title
Engineering Secure Software and Systems
Published in
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-30806-7_12
Book ISBNs
978-3-31-930805-0, 978-3-31-930806-7
Authors

Dashevskyi, Stanislav, Brucker, Achim D., Massacci, Fabio, Stanislav Dashevskyi, Achim D. Brucker, Fabio Massacci

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 23%
Student > Ph. D. Student 5 19%
Other 3 12%
Professor 2 8%
Researcher 2 8%
Other 2 8%
Unknown 6 23%
Readers by discipline Count As %
Computer Science 15 58%
Engineering 4 15%
Social Sciences 2 8%
Unknown 5 19%
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 20 July 2016.
All research outputs
#5,754,299
of 22,852,911 outputs
Outputs from Lecture notes in computer science
#1,872
of 8,126 outputs
Outputs of similar age
#91,575
of 393,602 outputs
Outputs of similar age from Lecture notes in computer science
#215
of 581 outputs
Altmetric has tracked 22,852,911 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
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 76% 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 393,602 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 76% of its contemporaries.
We're also able to compare this research output to 581 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.