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: Cybersecurity Systems for Human Cognition Augmentation
  name:
    name part: Pino, Robinson E.
    role:
      role term: editor.
  name:
    name part: Kott, Alexander.
    role:
      role term: editor.
  name:
    name part: Shevenell, Michael.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 209 p. 113 illus. online resource.
  abstract: 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.
  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.
  note: edited by Robinson E. Pino, Alexander Kott, Michael Shevenell.
  subject:
    topic: Computer science
  subject:
    topic: Neurosciences
  subject:
    topic: Computer communication systems
  subject:
    topic: Computer security
  subject:
    topic: Computers
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer Science
  subject:
    topic: Systems and Data Security
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Neurosciences
  subject:
    topic: Information Systems and Communication Service
  subject:
    topic: Computer Communication Networks
  classification: QA76.9.A25
  classification: 005.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advances in Information Security, 61
  identifier: 9783319103747
  identifier: http://dx.doi.org/10.1007/978-3-319-10374-7
  record info:
    record creation date: 141018
    record change date: 20151103121154.0
    record identifier: 978-3-319-10374-7