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
Robinson E. Pino
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