School of Computer and Information Science, Edith Cowan University, Perth, Western Australia
Steganography is the art and science of writing hidden messages in such a way that no one apart from the intended recipient knows of the existence of the message. In today’s world, it is widely used in order to secure the information. Since digital forensics aims to detect, recover and examine the digital evidence and steganography is a method for hiding digital evidence, detecting the steganography is an important step in digital forensics process. In this paper, the traditional spectral estimation methods are introduced. The performance analysis of each method is examined by comparing all of the spectral estimation methods. Finally, from utilising those performance analyses, a brief pros and cons of the spectral estimation methods are given. Also we give a steganography demo by hiding information into a sound signal and manage to pull out the information (i.e. the true frequency of the information signal) from the sound by means of the spectral estimation methods.