Biomedical Image Security Based on 2D and 3D Chaotic Systems

Recently, identifying abnormalities via medical images became vital. As these images are transferred across the IoMT network, they require high safety. Unauthorised use of the data contained in these images might have disastrous consequences. There are numerous approaches to protecting images in IoMT. One of the most effective approaches for safeguarding medical images is encryption. Encryption methods rely heavily on the concepts of confusion and dispersion. This research developed effective encryption and decryption algorithms for secure image transmission based on the chaotic maps with two and three dimensions for the IoMT application. The RGB colour system is first converted to the YCbCr colour space via a colour transformation. Then each of these components will be divided into 16 blocks, and a block permutation will be used to alter the position of these blocks. To perform more confusion a pixel permutation technique is further used. As permutation is alone not sufficient to achieve a satisfactory encryption, the contents again undergone diffusion for getting the final ciphertext image. The provided encryption technique discussed in this paper has been verified and studied on certain colour images. The findings demonstrated that the statistical and differential assaults had a substantial impact on the security and validity of the results. Additionally, the ciphered image has a near-optimal information entropy and correlation coefficients close to zero.