Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT

• Κύριοι συγγραφείς: Zhang, Yushu (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Xiang, Yong (http://id.loc.gov/vocabulary/relators/aut), Zhang, Leo Yu (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: SpringerBriefs in Signal Processing,
• Θέματα: Signal processing.; Image processing.; Speech processing systems.; Computer security.; Data encryption (Computer science).; Signal, Image and Speech Processing.; Systems and Data Security.; Cryptology.

 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. 

 Introduction -- Secure Compressive Sensing -- Multimedia Data Security -- Cloud Computing Security -- Internet of Things Security -- Concluding Remarks and Future Research.