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Cybersecurity Systems for Human Cognition Augmentation
Details
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.
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
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783319352220
- Genre Information Technology
- Editor Robinson E. Pino, Alexander Kott, Michael Shevenell
- Lesemotiv Verstehen
- Anzahl Seiten 209
- Größe H14mm x B155mm x T236mm
- Jahr 2016
- EAN 9783319352220
- Format Kartonierter Einband
- ISBN 978-3-319-35222-0
- Titel Cybersecurity Systems for Human Cognition Augmentation
- Untertitel Advances in Information Security 61
- Gewicht 353g
- Herausgeber Springer
- Sprache Englisch