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http://dx.doi.org/10.6109/jkiice.2021.25.10.1359

Steganography Software Analysis -Focusing on Performance Comparison  

Lee, Hyo-joo (Graduate School of Information Security, Sejong Cyber University)
Park, Yongsuk (Graduate School of Information Security, Sejong Cyber University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.25, no.10, 2021 , pp. 1359-1368 More about this Journal
Abstract
Steganography is a science of embedding secret data into innocent data and its goal is to conceal the existence of a carrier data. Many research on Steganography has been proposed by various hiding and detection techniques that are based on different algorithms. On the other hand, very few studies have been conducted to analyze the performance of each Steganography software. This paper describes five different Steganography software, each having its own algorithms, and analyzes the difference of each inherent feature. Image quality metrics of Peak Signal to Noise Ratio (PSNR) and Structural SIMilarity (SSIM) are used to define its performance of each Steganography software. We extracted PSNR and SSIM results of a quantitative amount of embedded output images for those five Steganography software. The results will show the optimal steganography software based on the evaluation metrics and ultimately contribute to forensics.
Keywords
Steganography; Steganographic software; PSNR; SSIM;
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