On the Possible Detectability of Image-in-Image Steganography

TL;DR

This paper examines the detectability of image-in-image steganography, demonstrating that such schemes can be effectively identified using statistical analysis and existing steganalysis methods, revealing significant vulnerabilities.

Contribution

The paper introduces a simple, interpretable steganalysis method based on wavelet moments, showing high detection accuracy for image-in-image steganography schemes.

Findings

Independent component analysis can identify embedding processes.

Proposed wavelet-based method achieves up to 84.6% accuracy.

Classical steganalysis methods reach over 99% accuracy.

Abstract

This paper investigates the detectability of popular imagein-image steganography schemes [1, 2, 3, 4, 5]. In this paradigm, the payload is usually an image of the same size as the Cover image, leading to very high embedding rates. We first show that the embedding yields a mixing process that is easily identifiable by independent component analysis. We then propose a simple, interpretable steganalysis method based on the first four moments of the independent components estimated from the wavelet decomposition of the images, which are used to distinguish between the distributions of Cover and Stego components. Experimental results demonstrate the efficiency of the proposed method, with eight-dimensional input vectors attaining up to 84.6% accuracy. This vulnerability analysis is supported by two other facts: the use of keyless extraction networks and the high detectability w.r.t. classical steganalysis methods, such as the SRM combined with support vector machines, which attains over 99% accuracy.