Security Level Determination of Cover Image in Steganography Based on the Fuzzy Logic

The selection of an appropriate cover to embedding a secret message is one of the main issues in the steganography. This leads to increasing the performance and decreasing the error from the point of view of passive defence. In this paper, preparation of a cover image with the suitable security level is described. For this porpose, some important features such as contrast, energy and the use of fuzzy logic with a selection threshold for Harris corners have been considered. Firstly, some images with different contrast were obtained but a fixed threshold for Harris corners from each cover image which extracting the features is done using Gray Levels Co-Occurrence Matrix (GLCM). Then, the security of images was graded using fuzzy logic. The images with different security levels can be stored in the different bank of images. According to the simulation which is done, selected images based on the proposed method, have an appropriate SSIM and PSNR in the steganography.