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  • Book
  • © 2019

Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT

Authors:

  1. Yushu Zhang

    1. School of Information Technology, Deakin University, Burwood, Melbourne, Australia

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    You can also search for this author in PubMed   Google Scholar

  2. Yong Xiang

    1. School of Information Technology, Deakin University, Burwood, Melbourne, Australia

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    You can also search for this author in PubMed   Google Scholar

  3. Leo Yu Zhang

    1. School of Information Technology, Deakin University, Burwood, Melbourne, Australia

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    You can also search for this author in PubMed   Google Scholar

  • Comprehensively reviews and discusses secure compressive sensing for applications in multimedia data, cloud computing and IoT
  • Includes the latest state-of-the-art techniques for secure compressive sensing and their applications
  • Provides detailed discussions about the challenges and future work in secure compressive sensing

Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)

Part of the book sub series: SpringerBriefs in Signal Processing (BRIEFSSIGNAL)

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Price excludes VAT (USA)
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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xii
    PDF

  2. Compressive Sensing

    • Yushu Zhang, Yong Xiang, Leo Yu Zhang
    Pages 1-9
    PDF

  3. Secure Compressive Sensing

    • Yushu Zhang, Yong Xiang, Leo Yu Zhang
    Pages 11-14
    PDF

  4. Multimedia Data Security

    • Yushu Zhang, Yong Xiang, Leo Yu Zhang
    Pages 15-62
    PDF

  5. Cloud Computing Security

    • Yushu Zhang, Yong Xiang, Leo Yu Zhang
    Pages 63-82
    PDF

  6. Internet of Things Security

    • Yushu Zhang, Yong Xiang, Leo Yu Zhang
    Pages 83-112
    PDF

  7. Concluding Remarks and Future Research

    • Yushu Zhang, Yong Xiang, Leo Yu Zhang
    Pages 113-115
    PDF
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About this book

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.
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Keywords

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Authors and Affiliations

  • School of Information Technology, Deakin University, Burwood, Melbourne, Australia

    Yushu Zhang, Yong Xiang, Leo Yu Zhang

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Bibliographic Information

  • Book Title: Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT

  • Authors: Yushu Zhang, Yong Xiang, Leo Yu Zhang

  • Series Title: SpringerBriefs in Electrical and Computer Engineering

  • DOI: https://doi.org/10.1007/978-981-13-2523-6

  • Publisher: Springer Singapore

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019

  • Softcover ISBN: 978-981-13-2522-9Published: 11 September 2018

  • eBook ISBN: 978-981-13-2523-6Published: 01 September 2018

  • Series ISSN: 2191-8112

  • Series E-ISSN: 2191-8120

  • Edition Number: 1

  • Number of Pages: XII, 115

  • Number of Illustrations: 16 b/w illustrations, 29 illustrations in colour

  • Topics: Signal, Image and Speech Processing, Systems and Data Security, Cryptology

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Download book EPUB

Buy it now

Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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