http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Neuroscience-enhanced artificial intelligence for cybersecurity
1 online resource (17 PDFs (386 pages)).
Neuroscience-enhanced artificial intelligence for cybersecurity explores how cognitive processes and brain-inspired models can revolutionize AI systems to defend against cyber threats. This book examines how brain-inspired models can enhance cybersecurity. Covering topics such as neuroscience, cybersecurity, and AI, this book is an excellent resource for researchers, cybersecurity professionals, academicians, and government professionals.
Preface -- Chapter 1. Neurocriminology: The Brain Behind Crime -- Chapter 2. Smart Criminal Justice Cognitive and Ethical Foundations for Trustworthy AI Systems -- Chapter 3. Affective Computing and Neuro-Symbolic Intelligence in the Protection of Digital Learning Ecologies: Cybersecurity Infrastructures for Didactic Systems -- Chapter 4. Integrating AI and Neuroscience for Cyber Threat Detection and Response -- Chapter 5. Neuro-Symbolic AI and Behavioral Intelligence: Towards Explainable Cybersecurity Mechanisms -- Chapter 6. Neuro-Symbolic Architectures for Cognitive Threat Detection: A Brain-Inspired Approach to Behavioral Anomaly and Social Engineering Defense -- Chapter 7. Neuroscience-Enhanced AI for Real-Time Behavioral Anomaly Detection in Cybersecurity -- Chapter 8. Integrating Predictive Analytics With AI for Cybersecurity Risk Management -- Chapter 9. Hybrid Systems Combining Neuroscience, AI, and Blockchain for Secure Environments -- Chapter 10. Neuromorphic Computing Architecture, Leading Chips, Hardware Innovations, Programming, and AI Integration -- Chapter 11. The Digital Corpus Callosum: Establishing Governance for Neuro-Enhanced AI Security -- Compilation of References -- About the Contributors -- Index.
Includes bibliographic references and index.