A Method of Secure Compressed Sensing for Physiological Signals in Healthcare Internet-of-Things Applications

With the increasing demand forinformation interaction and data transmission in medical and healthcare Internet of Things applications, effective and secure transmissions of data become particularly important. To address this problem, this paper focuses on a novel method of secure compressed sensing, which can be readily applied to physiological signals and other kinds of health signals. The method is able to efficiently reduce the sampling data and at the same time secure them without an extra significant computational cost, where a key is bound to the compressed sensing process with a symmetric cryptography design. Different from traditional methods, the novelty of this method is to combine the compression and encryption processes in an efficient way. Results of experimental analyses show that the proposed method can provide good security at the same compression rate.