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Cyber Weaponry

Overview of attention for book
Cover of 'Cyber Weaponry'

Table of Contents

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    Book Overview
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    Chapter 1 Weaponization of Computers
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    Chapter 2 Human Nature and Cyber Weaponry: Use of Denial and Deception in Cyber Counterintelligence
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    Chapter 3 The Human Element: The “Trigger” on Cyber Weapons
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    Chapter 4 Cyber Defense for IMGs and NGOs Using Crime Prevention Through Environmental Design
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    Chapter 5 Drinking from a Fire Hydrant: Information Overload As a Cyber Weapon
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    Chapter 6 Archer’s Stakes in Cyber Space: Methods to Analyze Force Advantage
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    Chapter 7 The Rule of Law: Controlling Cyber Weapons
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    Chapter 8 Double-Edged Sword: Dual-Purpose Cyber Security Methods
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    Chapter 9 “Who Was That Masked Man?”: System Penetrations—Friend or Foe?
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    Chapter 10 Development and Proliferation of Offensive Weapons in Cyber-Security
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    Chapter 11 No Smoking Gun: Cyber Weapons and Drug Traffickers
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    Chapter 12 Autonomous Weapons: Terminator-Esque Software Design
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    Chapter 13 Warfare of the Future
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    Chapter 14 Researching Cyber Weapons: An Enumerative Bibliography
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    Chapter 15 Erratum to: “Who Was That Masked Man?”: System Penetrations—Friend or Foe?
Attention for Chapter 9: “Who Was That Masked Man?”: System Penetrations—Friend or Foe?
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Citations

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Readers on

mendeley
6 Mendeley
Summary Dimensions citations
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Chapter title
“Who Was That Masked Man?”: System Penetrations—Friend or Foe?
Chapter number 9
Book title
Cyber Weaponry
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-74107-9_9
Book ISBNs
978-3-31-974106-2, 978-3-31-974107-9
Authors

Georg Thomas, Greg Low, Oliver Burmeister, Thomas, Georg, Low, Greg, Burmeister, Oliver

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Student > Bachelor 1 17%
Student > Master 1 17%
Unknown 3 50%
Readers by discipline Count As %
Computer Science 3 50%
Unknown 3 50%

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