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: Deep learning approaches for security threats in IoT environments
  name:
    name part: Abdel-Basset, Mohamed
    name part: 1985-
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Moustafa, Nour
    role:
      role term: author.
  name:
    name part: Hawash, Hossam
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: nju
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations (chiefly color)
  abstract: "Deep Learning Approaches for Security Threats in IoT Environments discusses approaches and measures to ensure our IoT systems are secure. This book discusses important concepts of AI and IoT and applies vital approaches that can be used to protect our systems - these include supervised, unsupervised, and semi-supervised Deep Learning approaches as well as Reinforcement and Federated Learning for privacy-preserving. This book applies Digital Forensics to IoT and discusses problems that professionals may encounter when working in the field of IoT forensics, providing ways in which smart devices can solve cyber security issues. Aimed at readers within the cyber security field, this book presents the most recent challenges that are faced in deep learning when creating a secure platform for IoT systems and addresses the possible solutions, paving the way for a more secure future"--
  note: Mohamed Abdel-Basset, Zagazig University, Egypt, Nour Moustafa, UNSW Canberra at the Australian Defence Force Academy, Australia, Hossam Hawash, Zagazig University, Egypt.
  note: Includes bibliographical references and index.
  subject:
    topic: Internet of things
    topic: Security measures
    topic: Data processing
  subject:
    topic: Deep learning (Machine learning)
  classification: TK5105.8857 .A23 2023
  classification: 004.67/8
  related item:
    title info:
      title: Deep learning approaches for security threats in IoT environments
    name:
      name part: Abdel-Basset, Mohamed, 1985-
    origin info:
      publisher: Hoboken, New Jersey : John Wiley & Sons, Inc., [2023]
      edition: First edition.
    identifier: (DLC) 2022035671
  identifier: 9781119884163
  identifier: 1119884160
  identifier: 9781119884156
  identifier: 1119884152
  identifier: 9781119884170
  identifier: 1119884179
  identifier: 9781119884149
  identifier: 2022035672
  identifier: 9965964 IEEE
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 220805
    record change date: 20260214233348.8
    record identifier: in00004688405
    language of cataloging:
      language term: eng