The Applied Research On Image Secret Sharing

With the development of information technology, A growing number of image data needs to be a secret transmission, Image Secret Sharing changes the traditional model of a single encryption and decryption, It takes the secret sharing technology to deal with image data, in this way, The responsibility of the participants have been shared and the system security and robustness has been increased, Image Secret Sharing have a broad application prospects in transferring banker's check image and medical image.First, this paper describes the theory of cryptography and some knowledge of number theory it refers, then it reviews the basic concepts and principles on general secret sharing as well as image sharing, Followed by analysis several typical image secret sharing schemes this paper points out the advantages and weaknesses of these programs. Consider the weaknesses of the original plan which needs to scramble the image pixels, this paper pulls scrambling factor into the process of segmentation as well as reconstruction and puts forward a new non-permutated image sharing scheme which base on multi-secret sharing theory, through analysis the results of the experimental result, we find the new scheme in the part of scrambling processing, the shadow image compression rate, the amount of information published, as well as operational efficiency of the public have some improvements.Taking into account there would be a threshold change's demand in the image secret sharing, this paper puts forward a dynamic threshold secret sharing scheme for dealing with the image pixels, and this scheme combines the thought of shamir's threshold and Diffie-Hellman protocol. When there is a change in the threshold, we just need to send the new threshold number to the trusted center and let the trusted center calculate and announce the new public parameters, other parameters needn't be changed, and they remain the same. After experimental tests, we find this scheme complete function of dynamic threshold successfully, but it has many weaknesses such as there is some outline of original image in the shadows, computational efficiency is very low. In order to overcome these deficiencies, in the improved scheme, we connect number of the original image pixels as a unit one as well as simplify the selection of secret key, in the end, the experimental results show that the improved scheme works well in overcoming the shortcomings of the initial program.In the end, the whole work of this paper is summarized and further work was predicted...