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Cybersecurity Systems for Human Cognition Augmentation

  • Book
  • © 2014

Overview

Editors:
  1. Robinson E. Pino

    1. ICF International, Fairfax, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Alexander Kott

    1. Army Research Laboratory, Adelphi, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Michael Shevenell

    1. ICF International, Darlington, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Covers the latest research tools and applications from government, industry, and academic situations
  • Clarifies the complexities of neuromorphic computing and machine learning as applied to network security
  • Summarizes new technologies related to cybersecurity
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Information Security (ADIS, volume 61)

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xvi
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  2. Situational Awareness, Sensemaking, and Situation Understanding in Cyber Warfare

    • Yan Yufik
    Pages 1-18

  3. Neuromorphic Computing for Cognitive Augmentation in Cyber Defense

    • Robinson E. Pino, Alexander Kott
    Pages 19-45

  4. Automated Cyber Situation Awareness Tools and Models for Improving Analyst Performance

    • Massimiliano Albanese, Hasan Cam, Sushil Jajodia
    Pages 47-60

  5. Data Mining in Cyber Operations

    • Misty Blowers, Stefan Fernandez, Brandon Froberg, Jonathan Williams, George Corbin, Kevin Nelson
    Pages 61-73

  6. Trusted Computation Through Biologically Inspired Processes

    • Gustave W. Anderson
    Pages 75-84

  7. Dynamic Logic Machine Learning for Cybersecurity

    • Leonid Perlovsky, Olexander Shevchenko
    Pages 85-98

  8. Towards Neural Network Based Malware Detection on Android Mobile Devices

    • Wei Yu, Linqiang Ge, Guobin Xu, Xinwen Fu
    Pages 99-117

  9. Sustainability Problems and a Novelty in the Concept of Energy

    • Simon Berkovich
    Pages 119-133

  10. Memristors as Synapses in Artificial Neural Networks: Biomimicry Beyond Weight Change

    • Andrew J. Lohn, Patrick R. Mickel, James B. Aimone, Erik P. Debenedictis, Matthew J. Marinella
    Pages 135-150

  11. Low Power Neuromorphic Architectures to Enable Pervasive Deployment of Intrusion Detection Systems

    • Tarek M. Taha, Raqibul Hasan, Chris Yakopcic, Mark R. McLean
    Pages 151-168

  12. Memristor SPICE Model Simulation and Device Hardware Correlation

    • Robinson E. Pino, Antonio S. Oblea, Kristy A. Campbell
    Pages 169-174

  13. Reconfigurable Memristor Based Computing Logic

    • Robinson E. Pino, Youngok K. Pino
    Pages 175-182

  14. Cyber Security Considerations for Reconfigurable Systems

    • James Lyke, Arthur Edwards
    Pages 183-209
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Keywords

About this book

This book explores cybersecurity research and development efforts, including ideas that deal with the growing challenge of how computing engineering can merge with neuroscience. The contributing authors, who are renowned leaders in this field, thoroughly examine new technologies that will automate security procedures and perform autonomous functions with decision making capabilities. To maximize reader insight into the range of professions dealing with increased cybersecurity issues, this book presents work performed by government, industry, and academic research institutions working at the frontier of cybersecurity and network sciences. Cybersecurity Systems for Human Cognition Augmentation is designed as a reference for practitioners or government employees working in cybersecurity. Advanced-level students or researchers focused on computer engineering or neuroscience will also find this book a useful resource.

Editors and Affiliations

  • ICF International, Fairfax, USA

    Robinson E. Pino

  • Army Research Laboratory, Adelphi, USA

    Alexander Kott

  • ICF International, Darlington, USA

    Michael Shevenell

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