rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Neuroscience-enhanced artificial intelligence for cybersecurity
  name:
    name part: Rehman, Shafiq Ul
    role:
      role term: editor.
  name:
    name part: IGI Global Scientific Publishing
    role:
      role term: publisher.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: pau
    date issued: 2026
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (17 PDFs (386 pages)).
  abstract: 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.
  table of contents: 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.
  target audience: specialized
  note: Shafiq Ul Rehman, editor.
  note: Includes bibliographic references and index.
  subject:
    topic: Artificial intelligence
    topic: Computer programs
  subject:
    topic: Computer security
    topic: Data processing
  subject:
    topic: Computational intelligence
  subject:
    topic: Intelligence artificielle
    topic: Logiciels
  subject:
    topic: Intelligence informatique
  subject:
    topic: Artificial Intelligence (AI)
  subject:
    topic: Computing Architecture.
  subject:
    topic: Criminal Justice Science.
  subject:
    topic: Cyber Threats.
  subject:
    topic: Cybersecurity.
  subject:
    topic: Digital Learning.
  subject:
    topic: Ethical Foundations.
  subject:
    topic: Hardware Innovations.
  subject:
    topic: Malware Detection.
  subject:
    topic: Neuro Intelligence.
  subject:
    topic: Neuromorphic Computing.
  subject:
    topic: Neuroscience.
  subject:
    topic: Predictive Analysis.
  subject:
    topic: Social Engineering.
  classification: Q335 .N48 2026e
  classification: 006.3
  related item:
    title info:
      title: e-Book Collection
  identifier: 9798337350141 (electronic bk.)
  identifier: 9798337350127
  location:
    physical location: POD
  record info:
    record content source: IGIGL
    record creation date: 260102
    record change date: 20260418233627.8
    record identifier: in00005778998
    language of cataloging:
      language term: eng