Cybersecurity Systems for Human Cognition Augmentation
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 s...
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| Other Authors: | , , |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Edition: | 1st ed. 2014. |
| Series: | Advances in Information Security,
61 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-319-10374-7 |
Table of Contents:
- Situational awareness, sensemaking, and situation understanding in cyber warfare
- Neuromorphic Computing for Cognitive Augmentation in Cyber Defense
- Automated Cyber Situation Awareness Tools and Models for Improving Analyst Performance
- Data Mining in Cyber Operations
- Trusted Computation through Biologically Inspired Processes
- Dynamic Logic Machine Learning for Cybersecurity
- Towards Neural Network Based Malware Detection on Android Mobile Devices
- Sustainability Problems and a Novelty in the Concept of Energy
- Memristors as Synapses in Artificial Neural Networks: Biomimicry Beyond Weight Change
- Low Power Neuromorphic Architectures to Enable Pervasive Deployment of Intrusion Detection Systems
- Memristor SPICE Model Simulation and Device Hardware Correlation
- Reconfigurable Memristor Based Computing Logic
- Cyber Security Considerations for Reconfigurable Systems.