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Advances in Human Factors in Cybersecurity

Overview of attention for book
Advances in Human Factors in Cybersecurity
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 A Rapid Serial Visual Presentation Method for Graphical Authentication
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    Chapter 2 Information Security Application Design: Improving Signal-to-Noise Ratio
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    Chapter 3 Towards More Effective Cyber Operator Interfaces Through Semantic Modeling of User Context
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    Chapter 4 Extended Password Security via Cloud: CloudPass
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    Chapter 5 Biometric-Based Cybersecurity Techniques
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    Chapter 6 Users’ Privacy Perceptions About Wearable Technology: Examining Influence of Personality, Trust, and Usability
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    Chapter 7 Cyber Operator Perspectives on Security Visualization
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    Chapter 8 Cyber-Security: Role of Deception in Cyber-Attack Detection
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    Chapter 9 Role of Intrusion-Detection Systems in Cyber-Attack Detection
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    Chapter 10 Understanding the Personality Characteristics of Cybersecurity Competition Participants to Improve the Effectiveness of Competitions as Recruitment Tools
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    Chapter 11 Integrating Cultural Factors into Human Factors Framework and Ontology for Cyber Attackers
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    Chapter 12 Cognitive Performance Impact of Augmented Reality for Network Operations Tasks
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    Chapter 13 Stress and Workload Profiles of Network Analysis: Not All Tasks Are Created Equal
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    Chapter 14 Human Capability Evaluation Approach for Cyber Security in Critical Industrial Infrastructure
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    Chapter 15 Cybersecurity Awareness in the Power Grid
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    Chapter 16 Human Factor of Online Social Media Cybersecurity Risk Impact on Critical National Information Infrastructure
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    Chapter 17 The Importance of Information Security Awareness for the Success of Business Enterprises
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    Chapter 18 Investigating the Relationship Between Need for Cognition and Skill in Ethical Hackers
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    Chapter 19 A White Hat Approach to Identifying Gaps Between Cybersecurity Education and Training: A Social Engineering Case Study
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    Chapter 20 Influence of Motivational Factors on Hackers’ and Analysts’ Decisions in Dynamic Security Games
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    Chapter 21 Behavioral Cybersecurity: Human Factors in the Cybersecurity Curriculum
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    Chapter 22 Developing an Insider Threat Training Environment
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    Chapter 23 Applying Human Factors Research Towards Cyberspace Operations: A Practitioner’s Perspective
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    Chapter 24 Contextualizing Mnemonic Phrase Passwords
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    Chapter 25 Research Directions in Authentication and Personal Data
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    Chapter 26 Multi-cultural Empirical Study of Password Strength Versus Ergonomic Utility
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    Chapter 27 Swipe Authentication: Exploring Over-the-Shoulder Attack Performance
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    Chapter 28 “Is This Cyberbullying or Not?”: Intertwining Computational Detection with Human Perception (A Case Study)
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    Chapter 29 Increasing Software Security by Using Mental Models
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    Chapter 30 Development and Validation of the Air Force Cyber Intruder Alert Testbed (CIAT)
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    Chapter 31 Cyber Epidemics: Modeling Attacker-Defender Dynamics in Critical Infrastructure Systems
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    Chapter 32 Intelligent Agent Representations of Malware: Analysis to Prepare for Future Cyber Threats
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    Chapter 33 Two Complementary Network Modeling and Simulation Approaches to Aid in Understanding Advanced Cyber Threats
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    Chapter 34 Malware Detection Based on New Implementations of the Moody-Darken Single-Layer Perceptron Architecture: When the Data Speak, Are We Listening?
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    Chapter 35 Assessing Aptitude and Talent for Cyber Operations
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    Chapter 36 Computer Programming as a Second Language
Overall attention for this book and its chapters
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Readers on

mendeley
117 Mendeley
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Title
Advances in Human Factors in Cybersecurity
Published by
Advances in Intelligent Systems and Computing, January 2016
DOI 10.1007/978-3-319-41932-9
ISBNs
978-3-31-941931-2, 978-3-31-941932-9
Editors

Denise Nicholson

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 3%
Student > Master 3 3%
Student > Doctoral Student 1 <1%
Researcher 1 <1%
Unknown 109 93%
Readers by discipline Count As %
Computer Science 7 6%
Business, Management and Accounting 1 <1%
Unknown 109 93%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 April 2019.
All research outputs
#15,568,718
of 25,992,468 outputs
Outputs from Advances in Intelligent Systems and Computing
#1
of 1 outputs
Outputs of similar age
#206,000
of 402,374 outputs
Outputs of similar age from Advances in Intelligent Systems and Computing
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 2.0. This one scored the same or higher as 0 of them.
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 402,374 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them