USE OF IOT IN HEALTHCARE: A DETAILED REVIEW
M. Vivek Anand · Journal of Emerging Technologies and Innovative Research · 2018
Due to the rapid expansion of the Internet of Things (IoT) in the healthcare industry, the security and integrity of medical data have become major concerns for healthcare service applications. This article presents a hybrid security approach for the protection of diagnostic text data embedded in medical pictures. The suggested model is built by merging either a two-dimensional discrete wavelet transform 1 level (2D-DWT-1L) or a two-dimensional discrete wavelet transform 2 level (2D-DWT-2L) steganography approach with a suggested hybrid encryption system. The suggested hybrid encryption scheme is based on a mixture of AES plus Rivest, Shamir, and Adleman algorithms. The suggested methodology begins by encrypting the secret data; it then uses 2D-DWT-1L or 2D-DWT-2L to disguise the output in a cover picture. Cover pictures are used in both colour and grayscale to disguise a variety of text sizes. The peak signal-to-noise ratio (PSNR), mean square error (MSE), bit error rate (BER), structural similarity (SSIM), structural content (SC), and correlation were used to assess the suggested system's performance.