An adaptive color image steganography method using adjacent pixel value differencing and LSB substitution technique

Kalita, Manashee; Tuithung, Themrichon; Majumder, Swanirbhar

doi:10.1080/01611194.2019.1579122

Cited by 22 publications

(8 citation statements)

References 26 publications

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“…A spatial adaptive domain color image steganography technique is shown which utilizes the LSB replacement and adjoining pixel esteem differencing idea [1], [17]. Using a block layout of 3 by 3 pixels, the technique utilizes all the edge pixels in all possible ways.…”

Section: A Critical Analysis Of Existing Image Steganography Methodsmentioning

confidence: 99%

A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method

et al. 2022

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Communication has become a lot easier in this era of technology, development of highspeed computer networks, and the inexpensive uses of Internet. Therefore, data transmission has become vulnerable to and unsafe from different external attacks. Every communication body wants to secure their data while communicating over the Internet. The internet has various benefits but the main demerit is the privacy and security and the transmission of data over insecure network or channel may happen. Various techniques used for secure communication in order to address these issues, steganography plays an important role. Steganography is the process of obfuscation that makes something incomprehensible and unclear. Different image steganography research methods are proposed recently but each has their advantages and disadvantages and still have necessity to develop some better image steganography mechanisms to achieve the reliability between the basics criteria of image steganography. Therefore, the proposed work, in this paper, is based on the Least Significant Bit (LSB) substitution method. The LSB substitution method can minimize the error rate in embedding process and can achieve greater reliability in criteria, using novel algorithm based on value difference. In this paper, we proposed a novel technique in steganography within the digital images such is RGB, Gray Scale, Texture, Aerial images to achieve higher security, imperceptibility, capacity, and robustness as compared with existing methods. The experimental outcomes of the suggested approach prove further developed strength and justify the feasibility of our research. Through numerical simulations, we observed that the proposed strategy outperformed the nextbest current methodology by 5.561 percent in terms of PSNR Correlation score. Additionally, the proposed approach achieved a 6.43 percent better score in PSNR with a variable measure of code inserted in similar images with distinct dimensions. Furthermore, encrypting the same amount of information in images of varying sizes resulted in approximately 6.77 percent improvements. Embedding different sizes of a particular secret message in a different image (such as Gray, Texture, Aerial and RGB images) came out with about 5.466 percent of better score.

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Section: A Critical Analysis Of Existing Image Steganography Methodsmentioning

confidence: 99%

A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method

et al. 2022

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“…Table [1] illustrates different attributes of disguised data used. The first step for employing compression is to obtain the frequency distribution for each letter which is elucidated in figure [11]. For obtaining the frequency distribution of each letter in the text of 8 articles extracted, a python program was used which can count how many times a letter occurred in the given text.…”

Section: Extraction Of Datasetmentioning

confidence: 99%

“…It is also known as the proportion of the squared norm and is expounded as the proportion between squared image norms and image. L2RAT values for all the images used in this disquisition are depicted in table [11] and figure [34] The average incongruity between SD values turned out to be 0.09825…”

Section: L2ratmentioning

confidence: 99%

A Novel M-Log Chaos Method for Enhanced Security Blended with Pristine d-Hybrid LSB Approach for Reducing Image Degradation Hinged on Huffman Compression of English Text for Payload Improvement

Raghuvanshi

Joshi

Nandal

et al. 2023

Preprint

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Pretext & Motivations: Spatial domain-based image steganography is the stowing away technique in which disguised data is hidden directly inside the pixel intensities of an unclassified image. After a systematic literature review based on the PRISMA framework, it was realized that no single disquisition has covered all three acreages together i.e., improved payload capacity, augmented security, and reduced image degradation. Chaotic method was restricted to be used as fodder for searching techniques or diffusion of disguised data within the CI. In the proffered approach, a novel use of chaotic function as bombs that can be used to guard the real message is explored. Proffered Method: The proffered method can be divided into two parts: Insertion of secret text (Huffman compression + novel M-Log chaos bombs embedding + d-Hybrid 3-LSB) and extracting the recondite message out (diffusing chaos bombs + decompressing the message). Results: Efficient developments were achieved by the proffered method in all three acreages i.e., Payload improvement of 40%, mean PSNR of 45.8981 and mean SSIM of 0.9931, and 32% image degradation reduction. Conclusion and Future Scope: The proposed method used Huffman compression to clinch the up-scaled payload. Chaotic function values, along with a modulus function, were used to feed into a novel bomb generator equation [ ], which fosters locus for stashing chaos bombs in any image. When triggered by the attacker, these bombs caused permanent marring of recondite data, denying the intruder access to disguised information. As an additional element, image degradation caused was reduced by the pristine d-hybrid method. For future studies, the use of multidimensional chaotic functions and different searching techniques for identifying ideal locations for stashing chaos bombs can be explored.

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“…Both accuracy and precision should be as high as possible. Accuracy and precision are calculated by using (11) and (12), respectively.…”

Section: Yes Nomentioning

confidence: 99%

“…The concept of PVD has been applied to steganography in PVD steganography. The integration of PVD with LSBR steganography involves using the concept of PVD to distinguish smooth and complex textures in an image and replacing LSBs with three pixel values to increase embedding capacity [4][5][6][7][8][9][10][11][12][13][14]. Modulus-based PVD steganography uses the concept of congruence in modular arithmetic to hide secret information [15][16][17][18][19][20][21][22][23].…”

mentioning

confidence: 99%

Statistical Feature–Based Steganalysis for Pixel-Value Differencing Steganography

Lin¹,

Lai

Chang³

2021

Preprint

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The security and embedding capacity of pixel-value differencing (PVD) steganography is superior to that of least significant bit replacement steganography. Several studies have proposed extended PVD steganography methods that use the original concept of PVD steganography. The majority of the studies have verified their security against regular-singular detection analysis or pixel difference histogram attacks. Weighted stego image steganalysis is the state-of-the-art technology for PVD steganography. This study proposed a suitable parameter for the estimator based on different relative embedding ratios and the size of normal embedding blocks. The experimental results revealed that the proposed technology does not require advance knowledge of the original image. In addition, the proposed method is accurate and precise at any embedding ratio. In the future, this method may be utilized to analyze the security of extended PVD steganography.

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An adaptive color image steganography method using adjacent pixel value differencing and LSB substitution technique

Cited by 22 publications

References 26 publications

A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method

A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method

A Novel M-Log Chaos Method for Enhanced Security Blended with Pristine d-Hybrid LSB Approach for Reducing Image Degradation Hinged on Huffman Compression of English Text for Payload Improvement

Statistical Feature–Based Steganalysis for Pixel-Value Differencing Steganography

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