Traceable Quantum Steganography Scheme Based on Pixel Value Differencing

Abstract

A novel and traceable quantum steganography scheme based on pixel value differencing (PVD) is proposed. In the proposed scheme, a quantum cover image is divided into non-overlapping blocks of two consecutive pixels. Then, by a series of reversible logic circuits, we calculate the difference value based on the values of the two pixels in each block and classify it as one of a set of continuous ranges. The secret image and operator information are embedded in the cover image by using the new obtained difference value to replace the original one. The number of bits of secret image that can be embedded in a block is determined, and the number of bits of operator information is decided by the range of the difference value belongs to. Moreover, when the embedded data is extracted from a stego image, it is not necessary to refer to the original cover image. The performance of the proposed scheme is based on the analysis of several categories of simulation results, such as visual quality, capacity, and robustness.

Lightweight image steganalysis with block-wise pruning

“…Steganalysis is the art of finding a hidden message from an image that shows no difference from a natural image to human eyes. This stego image is often generated by steganography 3 ; an art of hiding a message into an image, thus, a competing technology against steganalysis. Messages embedded by steganography often include a secret to be communicated between parties such as terrorists, spies, or hackers who have a malignant intention.…”

Quantum watermarking based on threshold segmentation using quantum informational entropy

“…A major thrust of current research is the quantum information hiding, [21] which is branched out into two fields, i.e., quantum image watermarking [22][23][24][25] and quantum image steganography. [26][27][28][29][30] Their purpose was to conceal secret message in a cover image without causing visual changes, so one must validate the proposed algorithm by some image quality measures. Many researchers are satisfied with employing the peak noise-to-signal ratio (PSNR) to evaluate similarity between quantum images.…”