Digital Forensics Analysis of Spectral Estimation Methods

TL;DR

This paper compares traditional spectral estimation methods for steganography, analyzing their performance and demonstrating how they can be used to hide and extract information in sound signals.

Contribution

It provides a comparative performance analysis of spectral estimation techniques and demonstrates their application in steganography for sound signals.

Findings

Spectral estimation methods vary in accuracy and computational efficiency.

Certain methods are more suitable for steganography applications.

Performance insights guide method selection for audio steganography.

Abstract

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. 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 utilizing 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.