2D Lorentz Chaotic Model Coupled with Logistic Chaotic Model for Medical Image Encryption: Towards Ensuring Security for Teleradiology
Siju John, Sushil Kumar
Abstract
Medical images play pivotal role in health care sector for disease diagnosis and therapeutic planning. Encryption algorithms are widely used in medical image processing for ensuring privacy in data transfer. This research work proposes a hybrid chaotic model, 2D Lorentz Chaotic model coupled with the Logistic chaotic model for the encryption/decryption of medical DICOM CT images. Prior to encryption, preprocessing was done by the median filter. The hybrid chaotic model scrambles the rows and columns of the image and bitwise XOR operation is carried out to generate the encrypted image. The performance metrics reveals the proficiency of the approach utilized in this research work, the mean PSNR value was 73.45, mean NPCR value was 99.99 and mean UACI value was 26.03. The hybrid encryption model outperforms the existing encryption techniques and paves the way towards the teleradiology applications. The encrypted image can be transferred through the cloud network and the receiver side node can decrypt the image. The decrypted image equality was found to be proficient for healthcare applications.