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Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT

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  • © 2019

Overview

  • 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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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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Table of contents (6 chapters)

Authors and Affiliations

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

    Yushu Zhang, Yong Xiang, Leo Yu Zhang

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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