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: Blockchain technology solutions for the security of IoT-based healthcare systems
  name:
    name part: Bhushan, Bharat
    name part: 1989-
    role:
      role term: editor.
  name:
    name part: Sharma, Sudhir Kumar
    role:
      role term: editor.
  name:
    name part: Saračević, Muzafer
    role:
      role term: editor.
  name:
    name part: Boulmakoul, Azedine
    role:
      role term: editor.
  name:
    name part: Sangaiah, Arun Kumar
    name part: 1981-
    role:
      role term: series editor.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xxii, 292 pages) : illustrations.
  abstract: "Explores the various benefits and challenges associated with the integration of blockchain with IoT healthcare systems, focusing on designing cognitive-embedded data technologies to aid better decision-making, processing and analysis of large amounts of data collected through IoT. Current Internet of Things (IoT) based healthcare systems are incapable of sharing data between platforms in an efficient manner and holding them securely at the logical and physical level. To this end, blockchain technology guarantees a fully autonomous and secure ecosystem by exploiting the combined advantages of smart contracts and global consensus. However, incorporating blockchain technology in IoT healthcare systems is not easy. Centralized networks in their current capacity will be incapable to meet the data storage demands of the incoming surge of IoT based healthcare wearables" --
  table of contents: Integration of E-health and Internet of Things -- Industry 4.0 technologies for healthcare: Applications, opportunities, and challenges -- Integrated machine learning techniques for preserving privacy in Internet of Things (IoT) systems -- Implementation of two factor authentication using face and iris biometrics -- Performance investigation of several convolutional neural network models in healthcare systems -- The classification of the investigations and punishment for crime syndicates that relate to intrusions against IoT-based healthcare systems -- IoT in modern healthcare systems focused on neuroscience disorders and mental health -- Blockchain implementation for IoT devices: Blockchain of Things -- Emergence of blockchain technology in the healthcare and insurance industries -- The use of blockchain technology in IoT-based healthcare: A concise guide -- Applications of blockchain technology for improving security in the internet of things (IoT) -- Blockchain for medical insurance: Synthesizing current knowledge and problematizing it for future research avenues -- Blockchain embedded security and privacy preserving in healthcare systems -- Blockchain-based decentralized management of IoT devices for preserving data integrity.
  note: edited by Bharat Bhushan, Sudhir Kumar Sharma, Muzafer Saračević, Azedine Boulmakoul ; series editor, Arun Kumar Sangaiah.
  note: Includes bibliographical references and index.
  subject:
    topic: Medical informatics
    topic: Security measures
  subject:
    topic: Blockchains (Databases)
  subject:
    topic: Internet of things
    topic: Security measures
  subject:
    topic: Médecine
    topic: Informatique
    topic: Sécurité
    topic: Mesures
  subject:
    topic: Chaînes de blocs
  subject:
    topic: Internet des objets
    topic: Sécurité
    topic: Mesures
  subject:
    topic: Blockchains (Databases)
  classification: R859.7.S43 B56 2023
  classification: 610.285
  related item:
    title info:
      title: Blockchain technology solutions for the security of IoT-based healthcare systems
    identifier: (OCoLC)1350637495
  related item:
    title info:
      title: Cognitive data science in sustainable computing
  identifier: 0323993915
  identifier: 9780323993913
  identifier: 9780323991995
  identifier: 0323991998
  identifier: 9780323993913 Ingram Content Group
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: UKAHL
    record creation date: 221029
    record change date: 20260327173920.0
    record identifier: in00005771177
    language of cataloging:
      language term: eng