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Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance

Overview of attention for book
Cover of 'Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance
  3. Altmetric Badge
    Chapter 2 Data Trustworthiness—Approaches and Research Challenges
  4. Altmetric Badge
    Chapter 3 Assurance Requirements for Mutual User and Service Provider Authentication
  5. Altmetric Badge
    Chapter 4 Group Discounts Compatible with Buyer Privacy
  6. Altmetric Badge
    Chapter 5 The Crypto-Democracy and the Trustworthy (Position Paper)
  7. Altmetric Badge
    Chapter 6 Configuration Behavior of Restrictive Default Privacy Settings on Social Network Sites
  8. Altmetric Badge
    Chapter 7 Towards Inherent Privacy Awareness in Workflows
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    Chapter 8 Index Optimization for L-Diversified Database-as-a-Service
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    Chapter 9 Privacy-Preserving Loyalty Programs
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    Chapter 10 Secure Improved Cloud-Based RFID Authentication Protocol
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    Chapter 11 Environment–Reactive Malware Behavior: Detection and Categorization
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    Chapter 12 Metric for Security Activities Assisted by Argumentative Logic
  14. Altmetric Badge
    Chapter 13 Calculating Adversarial Risk from Attack Trees: Control Strength and Probabilistic Attackers
  15. Altmetric Badge
    Chapter 14 Analysis of Social Engineering Threats with Attack Graphs
  16. Altmetric Badge
    Chapter 15 Introducing Probabilities in Controller Strategies
  17. Altmetric Badge
    Chapter 16 Automatically Calculating Quantitative Integrity Measures for Imperative Programs
  18. Altmetric Badge
    Chapter 17 Risk-Aware Information Disclosure
  19. Altmetric Badge
    Chapter 18 Probabilistic Modelling of Humans in Security Ceremonies
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    Chapter 19 High-Level Simulation for Multiple Fault Injection Evaluation
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    Chapter 20 Towards an Image Encryption Scheme with Content-Based Image Retrieval Properties
  22. Altmetric Badge
    Chapter 21 A-PPL: An Accountability Policy Language
  23. Altmetric Badge
    Chapter 22 Privacy-Preserving Electronic Toll System with Dynamic Pricing for Low Emission Zones
  24. Altmetric Badge
    Chapter 23 Association Rule Mining on Fragmented Database
Attention for Chapter 13: Calculating Adversarial Risk from Attack Trees: Control Strength and Probabilistic Attackers
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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Chapter title
Calculating Adversarial Risk from Attack Trees: Control Strength and Probabilistic Attackers
Chapter number 13
Book title
Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance
Published in
Lecture notes in computer science, March 2015
DOI 10.1007/978-3-319-17016-9_13
Book ISBNs
978-3-31-917015-2, 978-3-31-917016-9
Authors

Wolter Pieters, Mohsen Davarynejad

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 18%
Other 2 12%
Student > Bachelor 2 12%
Researcher 2 12%
Student > Master 1 6%
Other 1 6%
Unknown 6 35%
Readers by discipline Count As %
Computer Science 6 35%
Business, Management and Accounting 1 6%
Psychology 1 6%
Social Sciences 1 6%
Engineering 1 6%
Other 0 0%
Unknown 7 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 27 March 2017.
All research outputs
#6,124,471
of 22,797,621 outputs
Outputs from Lecture notes in computer science
#2,017
of 8,127 outputs
Outputs of similar age
#71,816
of 263,904 outputs
Outputs of similar age from Lecture notes in computer science
#26
of 89 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 75% 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 263,904 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 89 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 70% of its contemporaries.