Compressive sensing based secret signals recovery for effective image Steganalysis in secure communications

Abstract

Conventional image steganalysis mainly focus on presence detection rather than the recovery of the original secret messages that were embedded in the host image. To address this issue, we propose an image steganalysis method featured in the compressive sensing (CS) domain, where block CS measurement matrix senses the transform coefficients of stego-image to reflect the statistical differences between the cover and stego-images. With multi-hypothesis prediction in the CS domain, the reconstruction of hidden signals is achieved efficiently. Extensive experiments have been carried out on five diverse image databases and benchmarked with four typical stegographic algorithms. The comprehensive results have demonstrated the efficacy of the proposed approach as a universal scheme for effective detection of stegography in secure communications whilst it has greatly reduced the numbers of features requested for secret signal reconstruction.

CSIS: Compressed sensing‐based enhanced‐embedding capacity image steganography scheme

“…Here, the original image is identified from a set of images containing the original image and some instances of stego images. In [31], the authors have proposed an image steganalysis technique for secret signal recovery. These steganography schemes are not related to our work because the focus of [26] and [31] is steganalysis, while [30] focuses on steganography classifier.…”

“…In [31], the authors have proposed an image steganalysis technique for secret signal recovery. These steganography schemes are not related to our work because the focus of [26] and [31] is steganalysis, while [30] focuses on steganography classifier. Hence, we do not discuss these schemes in detail.…”

“…Moreover, some other compressed sensing-based image steganography schemes are listed in [26,30], and [31]. In [26], the authors have presented the application of compressed sensing to detect steganographic content in the LSB steganography scheme.…”