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: Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT
  name:
    name part: Zhang, Yushu.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Xiang, Yong.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Zhang, Leo Yu.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: si
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 115 p. 45 illus., 29 illus. in color. online resource.
  abstract: This book gives a comprehensive and systematic review of secure compressive sensing (CS) for applications in various fields such as image processing, pattern recognition, Internet of things (IoT), and cloud computing. It will help readers grasp the knowledge of secure CS and its applications, and stimulate more readers to work on the research and development of secure CS. It discusses how CS becomes a cryptosystem, followed by the corresponding designs and analyses. The application of CS in multimedia data encryption is presented, in which the general design framework is given together with several particular frameworks including parallel CS, involvement of image processing techniques, and double protection mechanism. It also describes the applications of CS in cloud computing security and IoT security, i.e., privacy-preserving reconstruction in cloud computing and secure low-cost sampling in IoT, respectively.
  table of contents: Introduction -- Secure Compressive Sensing -- Multimedia Data Security -- Cloud Computing Security -- Internet of Things Security -- Concluding Remarks and Future Research.
  note: by Yushu Zhang, Yong Xiang, Leo Yu Zhang.
  subject:
    topic: Signal processing
  subject:
    topic: Image processing
  subject:
    topic: Speech processing systems
  subject:
    topic: Computer security
  subject:
    topic: Data encryption (Computer science)
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Systems and Data Security
  subject:
    topic: Cryptology
  classification: TK5102.9
  classification: TA1637-1638
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Signal Processing
  identifier: 9789811325236
  identifier: https://doi.org/10.1007/978-981-13-2523-6
  record info:
    record creation date: 180901
    record change date: 20191025221721.0
    record identifier: 978-981-13-2523-6