Color Image Steganography Scheme Based on Convolutional Neural Network

Zeng, Cheng; Li, Jingbing; Zhou, Jingjun; Nawaz, Saqib Ali

doi:10.1007/978-3-030-78621-2_21

Cited by 4 publications

(8 citation statements)

References 18 publications

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“…The proposed scheme replaces the extraction network with a structure similar to the hiding network, which improves the performance of the decryption network. Therefore, the proposed TRPSteg is also clearly different from the previous CNNbased image steganography schemes [15][16][17]. In addition, a novel strategy of recursive permutation is proposed to encrypt the secret image and further improve the security of the steganography model.…”

Section: Differences Between Trpsteg and Other Image Steganography Sc...mentioning

confidence: 90%

“…According to this table, we find that neural network steganography methods have a larger effective capacity than traditional data hiding schemes [ 19 , 20 , 59 ]. The maximum capacities of the traditional data hiding schemes [ 19 , 20 , 59 ] and the neural network steganography methods [ 15 , 18 , 21 ] are 2 and 24 bpp.…”

Section: Methodsmentioning

confidence: 99%

“…The used Swim-Transformer focuses on global information and can model longer-distance dependencies, while CNN focuses on local information and has a weak ability to capture global information. At the same time, in previous scheme [ 15 , 16 , 17 ], the extracting network is generally the most basic CNN, and the encryption process and the decryption process are difficult to match. The proposed scheme replaces the extraction network with a structure similar to the hiding network, which improves the performance of the decryption network.…”

Section: Trpsteg: Transformer and Recursive Permutation-based Image S...mentioning

confidence: 99%

“…All the positions and strengths of hiding information as well as the hiding domain are automatically achieved by training the networks. However, these works have one or more of the following shortcomings: (1) the colors of the generated steganographic images are distorted [18]; (2) the hiding capacity is limited in [15,[18][19][20][21]. (3) the model [15][16][17]22] does not fit the steganographic process well; and (4) the secret image is not encrypted and then steganographic in [16,21,23]; thus, it is not sufficiently secure.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, deep learning has shown its power in automatically learning useful and highly abstract features from images [ 9 ]. It also performs well in image steganography [ 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 ], which uses an encoding network for steganography and a decoding network for extracting secret information.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Deep Image Steganography Using Transformer and Recursive Permutation

Wang

Zhou

Liu

et al. 2022

Entropy

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Image steganography, which usually hides a small image (hidden image or secret image) in a large image (carrier) so that the crackers cannot feel the existence of the hidden image in the carrier, has become a hot topic in the community of image security. Recent deep-learning techniques have promoted image steganography to a new stage. To improve the performance of steganography, this paper proposes a novel scheme that uses the Transformer for feature extraction in steganography. In addition, an image encryption algorithm using recursive permutation is proposed to further enhance the security of secret images. We conduct extensive experiments to demonstrate the effectiveness of the proposed scheme. We reveal that the Transformer is superior to the compared state-of-the-art deep-learning models in feature extraction for steganography. In addition, the proposed image encryption algorithm has good attributes for image security, which further enhances the performance of the proposed scheme of steganography.

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Section: Differences Between Trpsteg and Other Image Steganography Sc...mentioning

confidence: 90%

Section: Methodsmentioning

confidence: 99%

Section: Trpsteg: Transformer and Recursive Permutation-based Image S...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Deep Image Steganography Using Transformer and Recursive Permutation

Wang

Zhou

Liu

et al. 2022

Entropy

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show abstract

Reversible Image Steganography Using Deep Learning Method: A Review

Khandelwal,

Sharma

2024

Smart Innovation, Systems and Technologies

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Hiding Information in Digital Images Using LSB Steganography Technique

Jebur

Nawar

Kadhim

et al. 2023

Int. J. Interact. Mob. Technol.

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The highest way to protect data from intruder and unauthorized persons has become a major issue. This matter led to the development of many techniques for data security, such as Steganography, Cryptography, and Watermarking to disguise data. This paper proposes an image steganography method using the Least Significant Bits (LSB) technique and XOR operator and a secret key, through which the secret key is transformed into a one-dimensional bit stream array, then these bits are XORed with the bits of the secret image. Multiple experiments have been performed to embed color and grayscale images inside cover media. In this work, the LSB technique is ideal in two ways: firstly, only the least significant one-bit (1bit) of each byte will store the embedded data, this method is named (1-LSB). Secondly, the four least significant bits of the right half-byte (4 bits) of each byte will store the embedded data, this method is named (4-LSB). Subjective and objective analyzes were performed for each LSB process. The subjective analysis is responsible for both HVS and histogram, whereas the objective analysis involved both PSNR and MSE metrics.

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Color Image Steganography Scheme Based on Convolutional Neural Network

Cited by 4 publications

References 18 publications

Deep Image Steganography Using Transformer and Recursive Permutation

Deep Image Steganography Using Transformer and Recursive Permutation

Reversible Image Steganography Using Deep Learning Method: A Review

Hiding Information in Digital Images Using LSB Steganography Technique

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