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Intelligent Methods for Cyber Warfare

  • Book
  • © 2015

Overview

Editors:
  1. Ronald R. Yager

    1. Iona College, Machine Intelligence Institute, New Rochelle, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Marek Z. Reformat

    1. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

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    You can also search for this editor in PubMed   Google Scholar

  3. Naif Alajlan

    1. Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

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    You can also search for this editor in PubMed   Google Scholar

  • Recent research on Soft Computing in Cyber warfare
  • Presents Soft and Intelligent Computing Technologies for Cyber warfare
  • Written by experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 563)

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About this book

Cyberwarfare has become an important concern for governmental agencies as well businesses of various types.  This timely volume, with contributions from some of the internationally recognized, leaders in the field, gives readers a glimpse of the new and emerging ways that Computational Intelligence and Machine Learning methods can be applied to address problems related to cyberwarfare. The book includes a number of chapters that can be conceptually divided into three topics: chapters describing different data analysis methodologies with their applications to cyberwarfare, chapters presenting a number of intrusion detection approaches, and chapters dedicated to analysis of possible cyber attacks and their impact. The book provides the readers with a variety of methods and techniques, based on computational intelligence, which can be applied to the broad domain of cyberwarfare.

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Malware and Machine Learning

    • Charles LeDoux, Arun Lakhotia
    Pages 1-42

  3. Soft Computing Based Epidemical Crisis Prediction

    • Dan E. Tamir, Naphtali D. Rishe, Mark Last, Abraham Kandel
    Pages 43-67

  4. An ACP-Based Approach to Intelligence and Security Informatics

    • Fei-Yue Wang, Xiaochen Li, Wenji Mao
    Pages 69-86

  5. Microfiles as a Potential Source of Confidential Information Leakage

    • Oleg Chertov, Dan Tavrov
    Pages 87-114

  6. Decision Support in Open Source Intelligence

    • Daniel Ortiz-Arroyo
    Pages 115-127

  7. Information Fusion Process Design Issues for Hard and Soft Information: Developing an Initial Prototype

    • James Llinas
    Pages 129-149

  8. Intrusion Detection with Type-2 Fuzzy Ontologies and Similarity Measures

    • Robin Wikström, József Mezei
    Pages 151-172

  9. A Multi-objective Genetic Algorithm Based Approach for Effective Intrusion Detection Using Neural Networks

    • Gulshan Kumar, Krishan Kumar
    Pages 173-200

  10. Cyber Insider Mission Detection for Situation Awareness

    • Haitao Du, Changzhou Wang, Tao Zhang, Shanchieh Jay Yang, Jai Choi, Peng Liu
    Pages 201-217

  11. A Game Theoretic Engine for Cyber Warfare

    • Allen Ott, Alex Moir, John T. Rickard
    Pages 219-237

  12. Mission Impact Assessment for Cyber Warfare

    • Jared Holsopple, Shanchieh Jay Yang, Moises Sudit
    Pages 239-266

  13. Uncertainty Modeling: The Computational Economists’ View on Cyberwarfare

    • Suchitra Abel
    Pages 267-278
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Editors and Affiliations

  • Iona College, Machine Intelligence Institute, New Rochelle, USA

    Ronald R. Yager

  • Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

    Marek Z. Reformat

  • Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

    Naif Alajlan

Bibliographic Information

  • Book Title: Intelligent Methods for Cyber Warfare

  • Editors: Ronald R. Yager, Marek Z. Reformat, Naif Alajlan

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-08624-8

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-08623-1Published: 16 September 2014

  • Softcover ISBN: 978-3-319-34482-9Published: 22 September 2016

  • eBook ISBN: 978-3-319-08624-8Published: 03 September 2014

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XII, 278

  • Number of Illustrations: 58 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence

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