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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
  2. Altmetric Badge
    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 2: Defending Against Machine Learning Based Inference Attacks via Adversarial Examples: Opportunities and Challenges
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Citations

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Chapter title
Defending Against Machine Learning Based Inference Attacks via Adversarial Examples: Opportunities and Challenges
Chapter number 2
Book title
Adaptive Autonomous Secure Cyber Systems
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-33432-1_2
Book ISBNs
978-3-03-033431-4, 978-3-03-033432-1
Authors

Jinyuan Jia, Neil Zhenqiang Gong, Jia, Jinyuan, Gong, Neil Zhenqiang

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 13%
Student > Bachelor 5 11%
Student > Ph. D. Student 4 9%
Student > Doctoral Student 3 7%
Lecturer 3 7%
Other 8 17%
Unknown 17 37%
Readers by discipline Count As %
Computer Science 17 37%
Engineering 4 9%
Unspecified 1 2%
Economics, Econometrics and Finance 1 2%
Agricultural and Biological Sciences 1 2%
Other 2 4%
Unknown 20 43%

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