Privilege Based Advance Halftone Secure Secret Sharing Scheme with Error Diffusion Technique Along with Adaptive Secure Confidential Key in the Visual Cryptography

In the area of medicine, storing medical images of the patient in a very secure manner becomes to be toughest challenge. As the development in the digitalization of medicine, medical images security becomes critical issues for providing the secure transmission of data and images over unsecured channels. To overcome such issues, visual cryptography has been introduced using cryptographic mechanism for secretly transmitted the data by splitting into secure shares along with its secret data/images which is stored with greater confidentiality but during the retrieving process of the secret images, it has higher chance of getting the data been hacked so still it remains as major concern in visual secret sharing schemes. Therefore, it is essential to make the secure shares in the appropriate manner so we propose Privilege Based Advance Halftone Secure Secret Sharing Scheme including Error Diffusion Technique along with Adaptive Secure Confidential Key using Diffie-Hellman Authentication Protocol. At first, we make the significant shares which contain the secret data or images in the shares by providing privilege values to the specific participants in the proposed model. Then, visible input an image is translated into halftones 1872 I. Diana Judith and Dr. G.J Joyce Mary shares by using advanced halftone method along with error diffusion scheme. Later on, the secret medical image is spitted into advanced halftone shares having privilege value as well as significant image quality along with secret image. Finally, adaptive secure confidential key management based DiffieHellman authentication protocol is included with privilege value based shares for providing the highest security for the encrypting the medical images in the visual cryptography. Hence, the implementation values has demonstrated that the proposed model obtains effective performance in terms of the Peak SignalTo-Noise Ratio (PSNR), Mean Square Error (MSE) , Normalized Cross Correlation ( NC), Structural Similarity Index (SSI), Error ration and execution time