New Algorithm to Enhance the Accuracy of Extracting Steganography Hidden Data

Abstract

Cybercriminals are employing various techniques to conceal evidence from investigators, allowing them to avoid tracking the traces of the attack or the traces of crimes. Steganography of information was techniques and tactics used to hide the traces of a hacking or electronic attack. Steganography is one of the most severe methods of obfuscating traces to make it harder for investigators to uncover reliable evidence that can be used in court. In this research study, the problem was that the steganography tools that the authors used in previous studies in their research were not accurate in extracting all the hidden data, and their efficiency was poor. The objectives of this research are to evaluate the accuracy of extracting the hidden data by creating different scenarios using python script. Furthermore, develop a new algorithm to enhance the accuracy of extracting veiled data by using Tkinter framework. Finally, to evaluate the performance of the proposed new algorithm by comparing the proposed algorithm with different steganography tools. The proposed algorithm was able to increase the accuracy by 90% and extract the hidden data compared with different tools such as openstego stegspy and stegovirtas.