Computation intelligent new approach for image steganography calculations

Abstract

Image steganography is a mean to conceal the existence of secret information in a non-secret audio, which is referred to as cover media. Different from cryptography, the steganography focuses on hiding the secrecy of the information rather than obfuscating it. Additionally, the complex nature of the cover media makes it harder for the attacker to expose the hidden information. In this paper, we propose a new method to hide secret image in an audio file. The proposed method for images steganography is based on embedding the confidential information in an audible part of the sound files. Additionally, for the purpose of increasing the difficulty for the intruder to gain access to the secret information, the technique of random sample location was utilized to initiate the process of hiding the secret information. Experimental results proved that our proposed method is effective and efficient due to the imperceptibility aspect of the human hearing of the resultant audio file, which is referred to as stego file. The performance of the proposed method was tested using two common fidelity measurements, Peak-Signal-to-Noise-Ratio (PSNR) and Mean-Square-Error (MSE).