Highly secure image steganography approach using Arnold's Cat map and maximum image entropy

Abstract

Media (image, text, sound, and video) becomes available in the digital form. The ability to copy or modify contents and access to these media easily lead to making these problems challenging when transferring them to the internet. Therefore, data hiding methods are developed to handle these problems. In addition, cryptography algorithms can be combined with data hiding to increase the security of secret data that are used during the hiding process. In this paper, a new method of image steganography is proposed. The suggested approach is based on using ACM and array of random bits generated using BBS CSPRBG to encrypt the secret logo that is used during the hiding process. In embedding process, the cover-image is divided into blocks and the entropy of each block is computed. Then, the block that has a maximum value of entropy is selected to hide secret logo in it using (1st-LSB) algorithm. According to experimental results, the suggested method has achieved the best quality for the stego-image. Also, the secrecy of the logo is enhanced.