A Nonuniform Pixel Split Encryption Scheme Integrated With Compressive Sensing and Its Application in IoMT
Qiang Lai, Genwen Hu · IEEE Transactions on Industrial Informatics · 2024
Medical image encryption is a crucial technique to safeguard patient privacy and medical information security. This article proposes a novel medical image encryption scheme that combines compressive sensing techniques based on the designed memristive hyperchaotic system. Unlike traditional encryption methods that make it hard to handle large volume of data like medical images, the proposed scheme can quickly encrypt a large volume of medical images into a cipher image of a custom size, which greatly increases the efficiency of the algorithm. The security performance of the proposed algorithm is evaluated and analyzed in detail. Experimental results show that NPCR and UACI values are closer to 99.60% and 33.46%, the encryption speed can reach 1860.47 kb$/$s, which outperforms traditional methods. This work provides a new research method for the encryption of medical images and has important significance in the Internet of Medical Things (IoMT).