Compressive sensing is always being a hot topic, since only requiring fewer
samples can achieve the same recovery effect for the signal compared with the
traditional Shannon–Nyquist sampling theorem. It has increasing applications in
various fields such as image processing, pattern recognition, cloud computing, and
Internet of things. There is a very promising application prospect that compressive
sensing can be regarded as a cryptosystem when the measurement matrix acts as a
key, thus achieving simultaneous sampling, compression, and encryption.
Exploiting compressive sensing for security aspects has been widely studied in both
theory and application. In particular, the increasing works about multimedia data
security, cloud computing security, and Internet of things security based on compressive sensing have been investigated in recent years. This book gives a comprehensive and systematic introduction for secure compressive sensing with applications in multimedia data, cloud computing, and Internet of things, which will help readers well grasp the knowledge of this field, understand the corresponding
development trend, and explore emerging research opportunities, challenges, and applications.