Intelligent Methods for Cyber Warfare

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Yager, Ronald R. (Editor), Reformat, Marek Z. (Editor), Alajlan, Naif (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Series:Studies in Computational Intelligence, 563
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Malware and Machine Learning
  • Soft Computing Based Epidemical Crisis Prediction
  • An ACP-Based Approach to Intelligence and Security Informatics
  • Microfiles as a Potential Source of Confidential Information Leakage
  • Decision Support in Open Source Intelligence
  • Information Fusion Process Design Issues for Hard and Soft Information: Developing an Initial Prototype
  • Intrusion Detection with Type-2 Fuzzy Ontologies and Similarity Measures
  • A multi-objective genetic algorithm based approach for effective intrusion detection using neural networks
  • Cyber Insider Mission Detection for Situation Awareness
  • A Game Theoretic Engine for Cyber Warfare
  • Mission Impact Assessment for Cyber Warfare
  • Uncertainty modeling: the Computational Economists’ View on Cyberwarfare.