Cybersecurity Systems for Human Cognition Augmentation

1. Front Matter

   Pages i-xvi

   PDF

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

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.

• Anomaly detection
• Cloud control operations
• Cyber physical systems
• Cybersecurity systems
• Distributed real-time event corrolation
• Identity virtualization
• Intrusion detection and prevention
• Machine learning
• Network science
• Neuromorphic computing autonomy
• Security systems
• Social networks

• ICF International, Fairfax, USA

  Robinson E. Pino

• Army Research Laboratory, Adelphi, USA

  Alexander Kott

• ICF International, Darlington, USA

  Michael Shevenell

Policies and ethics