CRMMIVMar 12

On the Possible Detectability of Image-in-Image Steganography

arXiv:2603.11876v11.41 citationsh-index: 2
Predicted impact top 100% in CR · last 90 daysOriginality Incremental advance
AI Analysis

This work addresses vulnerabilities in steganography for security applications, but it is incremental as it builds on existing detection methods.

The paper investigates the detectability of image-in-image steganography schemes, showing that the embedding process is easily identifiable using independent component analysis, and proposes a steganalysis method that achieves up to 84.6% accuracy.

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.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes