A novel steganography method based on matrix pattern and LSB algorithms in RGB images

Nilizadeh, Amirfarhad; Nilchi, Ahmad Reza Naghsh

doi:10.1109/csiec.2016.7482107

Cited by 12 publications

(7 citation statements)

References 11 publications

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“…Moreover, in [51] the 4 th to 7 th bits of the image are used for generating and hiding matrix patterns. Another work based on the MP method [55] uses both MP and LSB algorithms to hide a secret message. The other prior work [54] is a block-based spatial steganography version of MP, in which blocks are selected randomly, and 95 codebook matrix patterns are generated from each block to assign all English keyboard characters.…”

Section: Related Workmentioning

confidence: 99%

“…The image dataset that was used in previous MP evaluations was small (13 images) [49,51,54,55,83]. In this paper, instead, we use the 10,000 images of the BOSSBase dataset [2].…”

Section: Images Dataset and Evaluationmentioning

confidence: 99%

“…3. This is the first time that a Matrix Pattern (MP) steganography algorithm has been evaluated on a large image dataset; we used 10,000 images from BOSSBase [59] (instead of 13 images in earlier MP studies [49,51,54,55,83]). Results show that our proposed AMP method is robust against well-known quantitative steganalysis methods while maintaining the quality of stego-images in both stego-RGB-image and stego-bluechannel.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Matrix Pattern Steganography on RGB Images

Nilizadeh

Mazurczyk

et al. 2021

JCSANDM

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Almost all spatial domain image steganography methods rely on modifying the Least Significant Bits (LSB) of each pixel to minimize the visual distortions. However, these methods are susceptible to LSB blind attacks and quantitative steganalyses. This paper presents an adaptive spatial domain image steganography algorithm for hiding digital media based on matrix patterns, named “Adaptive Matrix Pattern” (AMP). The AMP method increases the security of the steganography scheme of largely hidden messages since it adaptively generates a unique codebook matrix pattern for each ASCII character in each image block. Therefore, each ASCII character gets a different codebook matrix pattern even in different regions of the same image. Moreover, it uses a preprocessing algorithm to identify the most suitable image blocks for hiding purposes. The resulting stego-images are robust against LSB blind attacks since the middle bits of green and blue channels generate matrix patterns and hiding secrets, respectively. Experimental results show that AMP is robust against quantitative steganalyses. Additionally, the quality of stego-images, based on the peak signal-to-noise ratio metric, remains high in both stego-RGB-image and in the stego-blue-channel. Finally, the AMP method provides a high hiding capacity, up to 1.33 bits per pixel.

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Section: Related Workmentioning

confidence: 99%

“…The image dataset that was used in previous MP evaluations was small (13 images) [49,51,54,55,83]. In this paper, instead, we use the 10,000 images of the BOSSBase dataset [2].…”

Section: Images Dataset and Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptive Matrix Pattern Steganography on RGB Images

Nilizadeh

Mazurczyk

et al. 2021

JCSANDM

Self Cite

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“…The YCbCr technique is a perfact given way for steganography. The human eye is not sensitive to changes in chrominance although it is very sensitive to changes in luminance; thus, a littel changes in the colour spaces of the chrominance band will not cover or change the overall image quality [10,11]. The Y and Cb are the luminance components, but the color space of the Cr components consists of the blue and red chrominance components, respectively.…”

Section: Introductionmentioning

confidence: 99%

Color image steganography in YCbCr space

Alwan¹,

Farhan²,

Mahdi³

2020

IJECE

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Steganography is a best method for in secret communicating information during the transference of data. Images are an appropriate method that used in steganography can be used to protection the simple bits and pieces. Several systems, this one as color scale images steganography and grayscale images steganography, are used on color and store data in different techniques. These color images can have very big amounts of secret data, by using three main color modules. The different color modules, such as HSV-(hue, saturation, and value), RGB-(red, green, and blue), YCbCr-(luminance and chrominance), YUV, YIQ, etc. This paper uses unusual module to hide data: an adaptive procedure that can increase security ranks when hiding a top secret binary image in a RGB color image, which we implement the steganography in the YCbCr module space. We performed Exclusive-OR (XOR) procedures between the binary image and the RGB color image in the YCBCR module space. The converted byte stored in the 8-bit LSB is not the actual bytes; relatively, it is obtained by translation to another module space and applies the XOR procedure. This technique is practical to different groups of images. Moreover, we see that the adaptive technique ensures good results as the peak signal to noise ratio (PSNR) and stands for mean square error (MSE) are good. When the technique is compared with our previous works and other existing techniques, it is shown to be the best in both error and message capability. This technique is easy to model and simple to use and provides perfect security with unauthorized.

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“…The scheme was shown to have high resistance against steganalysis attacks including Regular Singular, Sample Pair, and PVD based attacks and has higher capacity than [17]. In [19], a combination of two steganography techniques is proposed, matrix pattern steganography such as in [17] and [18], and standard LSB substitution. The matrix pattern technique first divides the RGB coverimage into a number of non-overlapping blocks.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study Among Different Mathematical Sequences in 3D Image Steganography

Alexan¹,

Beheiry²,

Gamal–Eldin³

2020

IJCDS

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This paper proposes a double-layer message security scheme. The message is first encrypted using AES-128 and is then embedded within a 3D image using least significant bit (LSB) substitution. The LSB substitution is carried out using multiple mathematical sequences and a comparison between the performance of each sequence is investigated. The proposed system is evaluated using a number of performance metrics including the mean square error (MSE), the peak signal to noise ratio (PSNR), the entropy, the mean structural similarity index measurement (MSSIM), the R measurement, the normalized cross correlation (NCC), the image fidelity (IF) and the image distance (ID). Furthermore, a comparison between the proposed schemes and other proposed works from the literature is performed to demonstrate its superiority.

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A novel steganography method based on matrix pattern and LSB algorithms in RGB images

Cited by 12 publications

References 11 publications

Adaptive Matrix Pattern Steganography on RGB Images

Adaptive Matrix Pattern Steganography on RGB Images

Color image steganography in YCbCr space

A Comparative Study Among Different Mathematical Sequences in 3D Image Steganography

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