A KL Divergence Function for Randomized Secret Shares

Visual secret sharing (VSS) scheme aims to encrypt a secret image into multiple (more than or equal to 2) secret shares. The secret share could be treated as an image with random black and white pixels. The secret image will be revealed by collecting all the shares. In the past related works, the VSS schemes focus on how to generate a best security or how to achieve an optimal contrast for secret shares. So far, there is no such research to identify that the generated secret share is security or not. In this paper, our goal aims to develop an estimated matrix for determining whether the secret share is a secure share or not. The method of KL Divergence used discrete random distribution is taken consideration into our proposed scheme. We apply the some examples to demonstrate how to operate our proposed idea.