Exploiting Semi-Tensor Product Compressed Sensing and Hybrid Cloud for Secure Medical Image Transmission

With the development of telemedicine diagnosis technology, the collection, storage, and transmission of medical data has become a pivotal problem. To solve these problems, in terms of semi-tensor product compressed sensing (STP-CS) and hybrid cloud, a new medical data transmission framework is presented in this article, which can ensure the efficiency, confidentiality, and verifiability of data transmission. According to the edge detection, the authentication information is embedded into the insignificant area of the medical image to protect the authenticity of the data. STP-CS is utilized to measure and encrypt the medical image, which improves the efficiency of data transmission. In order to make the image data more secure, an adaptive cyclic shift diffusion algorithm based on chaotic sequence is used to effectively diffuse the measurement results. In addition, we also apply encoding for the quantized measurement value to be used as tamper proof authentication. The simulation results prove that the presented medical data transmission scheme can effectively improve the image reconstruction effect, transmission efficiency, and security.

Automated summary

This article presents a new medical data transmission framework based on semi-tensor product compressed sensing (STP-CS) and hybrid cloud to address the issues of collection, storage, and transmission of medical data. Authentication information is embedded into the insignificant area of the medical image through edge detection to protect data authenticity. STP-CS is used to measure and encrypt the medical image, improving data transmission efficiency. An adaptive cyclic shift diffusion algorithm based on chaotic sequence is used to effectively diffuse the measurement results for enhanced image data security. Encoding is applied for tamper-proof authentication of quantized measurement values. Simulation results demonstrate the effectiveness of the proposed medical data transmission scheme in improving image reconstruction, transmission efficiency, and security.