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Intelligent Methods for Cyber Warfare

Overview of attention for book
Cover of 'Intelligent Methods for Cyber Warfare'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Malware and Machine Learning
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    Chapter 2 Soft Computing Based Epidemical Crisis Prediction
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    Chapter 3 An ACP-Based Approach to Intelligence and Security Informatics
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    Chapter 4 Microfiles as a Potential Source of Confidential Information Leakage
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    Chapter 5 Decision Support in Open Source Intelligence
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    Chapter 6 Information Fusion Process Design Issues for Hard and Soft Information: Developing an Initial Prototype
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    Chapter 7 Intrusion Detection with Type-2 Fuzzy Ontologies and Similarity Measures
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    Chapter 8 A Multi-objective Genetic Algorithm Based Approach for Effective Intrusion Detection Using Neural Networks
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    Chapter 9 Cyber Insider Mission Detection for Situation Awareness
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    Chapter 10 A Game Theoretic Engine for Cyber Warfare
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    Chapter 11 Mission Impact Assessment for Cyber Warfare
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    Chapter 12 Uncertainty Modeling: The Computational Economists’ View on Cyberwarfare
Attention for Chapter 6: Information Fusion Process Design Issues for Hard and Soft Information: Developing an Initial Prototype
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Citations

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6 Mendeley
Summary Dimensions citations
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Chapter title
Information Fusion Process Design Issues for Hard and Soft Information: Developing an Initial Prototype
Chapter number 6
Book title
Intelligent Methods for Cyber Warfare
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-08624-8_6
Book ISBNs
978-3-31-908623-1, 978-3-31-908624-8
Authors

James Llinas

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 %
Poland 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Lecturer 1 17%
Student > Postgraduate 1 17%
Unknown 2 33%
Readers by discipline Count As %
Engineering 2 33%
Computer Science 1 17%
Unknown 3 50%

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