Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT
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Beschreibung
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.
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
Autor*in
Yushu Zhang
Themen in »Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT«
Secure Compressive Sensing Compressive Sensing Cryptosystem Multimedia Data Encryption Cloud Computing Security Internet of Things Security Secure Sparse Robustness Privacy-Preserving Compressive Sensing Reconstruction Secure Data Storage Double Protection Mechanism