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Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT [electronic resource] / by Yushu Zhang, Yong Xiang, Leo Yu Zhang.

By: Zhang, Yushu [author.].
Contributor(s): Xiang, Yong [author.] | Zhang, Leo Yu [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Signal Processing: Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: XII, 115 p. 45 illus., 29 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811325236.Subject(s): Signal processing | Data protection | Cryptography | Data encryption (Computer science) | Signal, Speech and Image Processing | Data and Information Security | CryptologyAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
Introduction -- Secure Compressive Sensing -- Multimedia Data Security -- Cloud Computing Security -- Internet of Things Security -- Concluding Remarks and Future Research.
In: Springer Nature eBookSummary: 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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Introduction -- Secure Compressive Sensing -- Multimedia Data Security -- Cloud Computing Security -- Internet of Things Security -- Concluding Remarks and Future Research.

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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