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: Industrial Internet of Things Security
    sub title: Protecting AI-Enabled Engineering Systems in Cloud and Edge Environments
  name:
    name part: Chawla, Sunil Kumar
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2025
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xvi, 230 pages).
  abstract: The industrial landscape is changing rapidly, and so is global society. This change is driven by the growing adoption of the Industrial Internet of Things (IIoT) and artificial intelligence (AI) technologies. IIoT and AI are transforming the way industrial engineering is done, enabling new levels of automation, productivity, and efficiency. However, as IIoT and AI become more pervasive in the industrial world, they also offer new security risks that must be addressed to ensure the reliability and safety of critical systems. Industrial Internet of Things Security: Protecting AI-Enabled Engineering Systems in Cloud and Edge Environments provides a comprehensive guide to IIoT security, covering topics such as network architecture, risk management, data security, and compliance. It addresses the unique security challenges that the cloud and edge environments pose, providing practical guidance for securing IIoT networks in these contexts. It includes numerous real-world case studies and examples, providing readers with practical insights into how IIoT security and AI-enabled industrial engineering are being implemented in various industries. Best practices are emphasized for the readers to ensure the reliability, safety, and security of their systems while also learning the latest developments in IIoT security for AI-enabled industrial engineering systems in this rapidly evolving field. By offering step-by-step guidance for the implantation process along with best practices, this book becomes a valuable resource for practitioners and engineers in the areas of industrial engineering, IT, computer engineering, and anyone looking to secure their IIoT network against cyber threats.
  note: edited by Sunil Kumar Chawla [and four others].
  note: Includes index.
  note: Dr. Sunil Kumar Chawla is working as Assistant Professor in the Department of Computer Science and Engineering, Chitkara University, Rajpura, Punjab, India. He has received his doctorate from IKG Punjab Technical University, Kapurthala, Punjab, India. He has more than 19 years of experience. His research interests lie in digital image processing, biometrics, image segmentation, artificial intelligence, machine learning and pattern recognition. He is a senior member of IEEE and other professional societies like ISTE, CSTA, IAENG, and Institute of Scholars. He has published more than 50 articles in international journals or conferences of repute, indexed in IEEE Xplore, Scopus, WoS, Google Scholar, and other eminent databases. He is associated with various international journals in the capacity of reviewer and guest editor. He has served as Technical Program Committee Member, Reviewer, Session Chair, and Program Chair of many conferences. He has edited two books under the publication of Routledge and CRC Press, Taylor & Francis Group, UK. He is also dealing with various academic and administrative duties for inclusive growth of the institution being served by handling teaching, learning, research, education, and overall development activities. He is also indulged in NBA, ABET, NIRF, and other accreditation and other ranking frameworks. Dr Neha Sharma working as Assistant Professor in the Department of Computer Science and Engineering Department at Chitkara University Institute of Engineering & Technology, Chitkara University, Rajpura, Punjab, India. She has received her Ph.D. degree in the area of Computer Science Engineering from GD Goenka University, Gurugram, and has vast teaching experience of more than 14 years in a reputed organization. She has more than 80 international publications in reputed peer-reviewed journals indexed in Scopus and WoS omit including IEEE Xplore, SCOPUS, and SCI indexed. Her main area of research is the image processing, machine learning,…
  subject:
    topic: Artificial intelligence
    topic: Industrial applications
  subject:
    topic: Cloud computing
    topic: Security measures
  subject:
    topic: Internet of things
    topic: Security measures
  subject:
    topic: Intelligence artificielle
    topic: Applications industrielles
  subject:
    topic: Internet des objets
    topic: Sécurité
    topic: Mesures
  subject:
    topic: COMPUTERS / Internet / Security
  subject:
    topic: COMPUTERS / Computer Engineering
  classification: TK5105.8857
  classification: 005.8
  related item:
    title info:
      title: Intelligent Manufacturing and Industrial Engineering
  identifier: 9781040146767
  identifier: 1040146767
  identifier: 9781003466284
  identifier: 1003466281
  identifier: 9781040146750
  identifier: 1040146759
  identifier: 9781032738505
  identifier: 9781003466284 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: GPRCL
    record creation date: 240914
    record change date: 20241122182426.1
    record identifier: in00005530044
    language of cataloging:
      language term: eng