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Adaptive Autonomous Secure Cyber Systems

Overview of attention for book
Cover of 'Adaptive Autonomous Secure Cyber Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Reference Architecture of an Autonomous Agent for Cyber Defense of Complex Military Systems
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    Chapter 2 Defending Against Machine Learning Based Inference Attacks via Adversarial Examples: Opportunities and Challenges
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    Chapter 3 Exploring Adversarial Artificial Intelligence for Autonomous Adaptive Cyber Defense
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    Chapter 4 Can Cyber Operations Be Made Autonomous? An Answer from the Situational Awareness Viewpoint
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    Chapter 5 A Framework for Studying Autonomic Computing Models in Cyber Deception
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    Chapter 6 Autonomous Security Mechanisms for High-Performance Computing Systems: Review and Analysis
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    Chapter 7 Automated Cyber Risk Mitigation: Making Informed Cost-Effective Decisions
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    Chapter 8 Plan Interdiction Games
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    Chapter 9 Game Theoretic Cyber Deception to Foil Adversarial Network Reconnaissance
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    Chapter 10 Strategic Learning for Active, Adaptive, and Autonomous Cyber Defense
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    Chapter 11 Online Learning Methods for Controlling Dynamic Cyber Deception Strategies
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    Chapter 12 Phishing URL Detection with Lexical Features and Blacklisted Domains
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    Chapter 13 An Empirical Study of Secret Security Patch in Open Source Software
Attention for Chapter 11: Online Learning Methods for Controlling Dynamic Cyber Deception Strategies
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Citations

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Chapter title
Online Learning Methods for Controlling Dynamic Cyber Deception Strategies
Chapter number 11
Book title
Adaptive Autonomous Secure Cyber Systems
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-33432-1_11
Book ISBNs
978-3-03-033431-4, 978-3-03-033432-1
Authors

Marcus Gutierrez, Christopher Kiekintveld, Gutierrez, Marcus, Kiekintveld, Christopher

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Researcher 1 11%
Student > Doctoral Student 1 11%
Student > Master 1 11%
Unknown 3 33%
Readers by discipline Count As %
Computer Science 5 56%
Arts and Humanities 1 11%
Unknown 3 33%

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