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Decision and Game Theory for Security

Overview of attention for book
Cover of 'Decision and Game Theory for Security'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Design of Load Forecast Systems Resilient Against Cyber-Attacks
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    Chapter 2 Identifying Stealthy Attackers in a Game Theoretic Framework Using Deception
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    Chapter 3 Choosing Protection: User Investments in Security Measures for Cyber Risk Management
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    Chapter 4 When Is a Semi-honest Secure Multiparty Computation Valuable?
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    Chapter 5 You only Lie Twice: A Multi-round Cyber Deception Game of Questionable Veracity
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    Chapter 6 Honeypot Type Selection Games for Smart Grid Networks
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    Chapter 7 Discussion of Fairness and Implementability in Stackelberg Security Games
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    Chapter 8 Toward a Theory of Vulnerability Disclosure Policy: A Hacker’s Game
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    Chapter 9 Investing in Prevention or Paying for Recovery - Attitudes to Cyber Risk
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    Chapter 10 Realistic versus Rational Secret Sharing
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    Chapter 11 Solving Cyber Alert Allocation Markov Games with Deep Reinforcement Learning
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    Chapter 12 Power Law Public Goods Game for Personal Information Sharing in News Commentaries
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    Chapter 13 Adaptive Honeypot Engagement Through Reinforcement Learning of Semi-Markov Decision Processes
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    Chapter 14 Deceptive Reinforcement Learning Under Adversarial Manipulations on Cost Signals
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    Chapter 15 DeepFP for Finding Nash Equilibrium in Continuous Action Spaces
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    Chapter 16 Effective Premium Discrimination for Designing Cyber Insurance Policies with Rare Losses
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    Chapter 17 Analyzing Defense Strategies Against Mobile Information Leakages: A Game-Theoretic Approach
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    Chapter 18 Dynamic Cheap Talk for Robust Adversarial Learning
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    Chapter 19 Time-Dependent Strategies in Games of Timing
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    Chapter 20 Tackling Sequential Attacks in Security Games
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    Chapter 21 A Framework for Joint Attack Detection and Control Under False Data Injection
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    Chapter 22 $$\mathsf {QFlip}$$ : An Adaptive Reinforcement Learning Strategy for the $$\mathsf {FlipIt}$$ Security Game
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    Chapter 23 Linear Temporal Logic Satisfaction in Adversarial Environments Using Secure Control Barrier Certificates
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    Chapter 24 Cut-The-Rope: A Game of Stealthy Intrusion
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    Chapter 25 Stochastic Dynamic Information Flow Tracking Game with Reinforcement Learning
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    Chapter 26 Adversarial Attacks on Continuous Authentication Security: A Dynamic Game Approach
  28. Altmetric Badge
    Chapter 27 On the Optimality of Linear Signaling to Deceive Kalman Filters over Finite/Infinite Horizons
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    Chapter 28 MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense
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    Chapter 29 General Sum Markov Games for Strategic Detection of Advanced Persistent Threats Using Moving Target Defense in Cloud Networks
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    Chapter 30 Operations over Linear Secret Sharing Schemes
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    Chapter 31 Cyber Camouflage Games for Strategic Deception
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    Chapter 32 When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games
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    Chapter 33 Perfectly Secure Message Transmission Against Independent Rational Adversaries
Attention for Chapter 13: Adaptive Honeypot Engagement Through Reinforcement Learning of Semi-Markov Decision Processes
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
4 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
49 Mendeley
Summary X Wikipedia Dimensions citations
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Chapter title
Adaptive Honeypot Engagement Through Reinforcement Learning of Semi-Markov Decision Processes
Chapter number 13
Book title
Decision and Game Theory for Security
Published in
arXiv, October 2019
DOI 10.1007/978-3-030-32430-8_13
Book ISBNs
978-3-03-032429-2, 978-3-03-032430-8
Authors

Linan Huang, Quanyan Zhu, Huang, Linan, Zhu, Quanyan

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 14%
Student > Ph. D. Student 6 12%
Other 4 8%
Lecturer 3 6%
Student > Bachelor 3 6%
Other 4 8%
Unknown 22 45%
Readers by discipline Count As %
Computer Science 15 31%
Engineering 6 12%
Business, Management and Accounting 2 4%
Physics and Astronomy 2 4%
Decision Sciences 1 2%
Other 1 2%
Unknown 22 45%
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 15 July 2022.
All research outputs
#6,752,418
of 24,079,942 outputs
Outputs from arXiv
#142,903
of 1,019,983 outputs
Outputs of similar age
#121,027
of 366,619 outputs
Outputs of similar age from arXiv
#5,115
of 29,509 outputs
Altmetric has tracked 24,079,942 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,019,983 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 85% 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 366,619 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 66% of its contemporaries.
We're also able to compare this research output to 29,509 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.

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