ACGIS: Adversarial Cover Generator for Image Steganography with Noise Residuals Features-Preserving

Yang, Junxue; Liao, Xin

doi:10.1016/j.image.2023.116927

Cited by 6 publications

(3 citation statements)

References 32 publications

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“…Steganography is a technique of hiding secret messages or information in a cover image, video, or audio file. Many researchers have proposed various methods for steganography and some of them are reviewed below (Shankar and Azhakath, 2023;Yang and Liao, 2023). In a study, steganography is a technique to hide data and information on other media, such as digital images, and has become an important method for secure communication.…”

Section: Introductionmentioning

confidence: 99%

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Implementation of a Logistic Map to Calculate the Bits Required for Digital Image Steganography Using the Least Significant Bit (LSB) Method

Maki¹,

Muktyas²,

Arifin³

et al. 2023

Journal of Computer Science

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The LSB method in steganography usually only uses the last bit or the last few bits that are the same for all pixels. This is very easy to solve by using a bitwise shift left operation so that the last bit becomes the leading bit (MSB). Some techniques combine steganography and cryptography through two different processes. In this study, a new technique is proposed to perform steganography and cryptography together. The random sequence obtained from the logistic map is used to determine the number of bits in the LSB method. Furthermore, testing was carried out on several grayscale images. The result obtained is that the hidden images cannot be opened easily. The level of sensitivity is very small, reaching 10 -15 .

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Section: Introductionmentioning

confidence: 99%

“…One method that can be used is the least significant bit, where the data bits will be embedded in the digital image bits. Steganography and least significant bit methods allow data to be hidden and then retrieved to be read by the data owner (Yang and Liao, 2023).…”

Section: Introductionmentioning

confidence: 99%

Implementation of a Logistic Map to Calculate the Bits Required for Digital Image Steganography Using the Least Significant Bit (LSB) Method

Maki¹,

Muktyas²,

Arifin³

et al. 2023

Journal of Computer Science

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show abstract

“…SSIM: SSIM stands for Structural Similarity Index and is a kind of perception-hinged appraisal metric that is used to quantify the amount of dissimilarity or degradation in the image caused during any steganographic technology. The SSIM values for the proffered system are elucidated in table[10] and figure[33].…”

mentioning

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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Improved security with novel M-Log chaos steganography algorithm for huffman compressed english text

Raghuvanshi,

Joshi,

Nandal

et al. 2024

Multimed Tools Appl

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ACGIS: Adversarial Cover Generator for Image Steganography with Noise Residuals Features-Preserving

Cited by 6 publications

References 32 publications

Implementation of a Logistic Map to Calculate the Bits Required for Digital Image Steganography Using the Least Significant Bit (LSB) Method

Implementation of a Logistic Map to Calculate the Bits Required for Digital Image Steganography Using the Least Significant Bit (LSB) 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

Improved security with novel M-Log chaos steganography algorithm for huffman compressed english text

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