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: Zero-trust learning
    sub title: applications in modern network security
  name:
    name part: Kaushal, Chetna
    role:
      role term: editor.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: flu
    date issued: 2026
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: "In this internet age of security challenges and threats from cybercrime, enhanced security measures are necessary. The zero trust model--the IT security model that requires strict identity verification for every person and device trying to access resources on a private network--helps to meet these ever-increasing and evolving security challenges. This new volume, Zero-Trust Learning: Applications in Modern Network Society, offers a comprehensive overview of the zero trust security model and its application in the field of cybersecurity, covering the principles, technologies, and best practices for implementing a zero trust approach, equipping readers with the knowledge and tools to secure their digital environments effectively. This book stands out by providing a holistic view of the zero trust security model, combining practical guidance for professionals with educational insights for both professionals and students. It goes beyond theory, offering real-world examples and case studies that bridge the gap between learning and implementation. Additionally, it incorporates the latest advancements in cybersecurity education, making it an indispensable resource for both educators and practitioners. Chapters cover the fundamentals, importance, and advantages of zero-trust security models; address the roles AI, blockchain, and machine learning play in zero trust learning and security; and look at the different kinds of ever more sophisticated security threats and how zero trust can mitigate risk. This volume will be a valuable guide for those charged with and involved with network security, such as cybersecurity professionals and practitioners, information technology professionals, and faculty and students in these areas."--
  note: Chetna Kaushal, Amandeep Kaur, Mohit Angurala, Aryan Chaudhary, editors.
  note: Includes bibliographical references and index.
  subject:
    topic: Computer networks
    topic: Security measures
  subject:
    topic: Computer security
  subject:
    topic: Réseaux d'ordinateurs
    topic: Sécurité
    topic: Mesures
  subject:
    topic: Sécurité informatique
  classification: TK5105.59 .Z47 2026
  classification: 005.8
  classification: cci1icc
  related item:
    title info:
      title: Zero-trust learning
    origin info:
      publisher: Palm Bay, FL, USA ; Burlington, ON, Canada : Apple Academic Press, 2025
      edition: First edition.
    identifier: (OCoLC)1513065221
  identifier: 9781040424742 (electronic bk.)
  identifier: 9781779643575
  identifier: 1779643578
  identifier: 9781040424759
  identifier: 1040424759
  identifier: 1040424740
  identifier: 9781779520197
  identifier: 1779520190
  identifier: 9781779643575 Taylor & Francis
  location:
    physical location: POD
  record info:
    record content source: TYFRS
    record creation date: 250603
    record change date: 20250810205611.3
    record identifier: in00005657870
    language of cataloging:
      language term: eng