RETRACTED ARTICLE: Image steganography using cosine transform with large-scale multimedia applications

Li, Yuan; Xiong, Chao; Han, Xiao; Xiang, Ruxi; He, Fengyou; Du, Hongwei

doi:10.1007/s11042-017-5557-1

Cited by 8 publications

(4 citation statements)

References 17 publications

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“…Compressed sensing is applied to secret data, and its singular value is embedded into the low-frequency sub-band of the cover. For large-scale multimedia applications, Li et al proposed an image steganography technology that uses cosine transform to obtain an image steganography capacity of 21.5 bpp when the signal-to-noise ratio is 38.24 dB [ 28 ]. Another high-capacity image steganography scheme is proposed by Rabie et al [ 29 ], which uses the multi-scale Laplacian pyramid of the cover image in wavelet domain to realize data embedding, and they use the method of curve fitting adaptive region to find the appropriate hiding position in the DCT domain.…”

Section: Introductionmentioning

confidence: 99%

Double-Matrix Decomposition Image Steganography Scheme Based on Wavelet Transform with Multi-Region Coverage

Ping

Yang

et al. 2022

Entropy

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On the basis of ensuring the quality and concealment of steganographic images, this paper proposes a double-matrix decomposition image steganography scheme with multi-region coverage, to solve the problem of poor extraction ability of steganographic images under attack or interference. First of all, the cover image is transformed by multi-wavelet transform, and the hidden region covering multiple wavelet sub-bands is selected in the wavelet domain of the cover image to embed the secret information. After determining the hidden region, the hidden region is processed by Arnold transform, Hessenberg decomposition, and singular-value decomposition. Finally, the secret information is embedded into the cover image by embedding intensity factor. In order to ensure robustness, the hidden region selected in the wavelet domain is used as the input of Hessenberg matrix decomposition, and the robustness of the algorithm is further enhanced by Hessenberg matrix decomposition and singular-value decomposition. Experimental results show that the proposed method has excellent performance in concealment and quality of extracted secret images, and secret information is extracted from steganographic images attacked by various image processing attacks, which proves that the proposed method has good anti-attack ability under different attacks.

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Section: Introductionmentioning

confidence: 99%

Double-Matrix Decomposition Image Steganography Scheme Based on Wavelet Transform with Multi-Region Coverage

Ping

Yang

et al. 2022

Entropy

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“…Information hiding has become a pivotal characteristic of digital society. Against this backdrop, several methods such as steganography and cryptography with complex algorithms have been developed to secure information privacy [2]. Cryptography is intended to conceal the content of messages via data encryption or scrambling, but it cannot hide their existence [3].…”

Section: Introductionmentioning

confidence: 99%

“…Cryptography is intended to conceal the content of messages via data encryption or scrambling, but it cannot hide their existence [3]. In contrast, steganography hides the very existence of secret information while being communicated in cover media files [2][3][4][5]. If successful, it attracts no suspicion at all of the presence of such secret information from the point of view of an external observer.…”

Section: Introductionmentioning

confidence: 99%

A False Negative Study of the Steganalysis Tool Stegdetect

et al. 2020

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In this study, we evaluated one of the modern automated steganalysis tools, Stegdetect, to study its false negative rates when analysing a bulk of images. In so doing, we used JPHide method to embed a randomly generated messages into 2000 JPEG images. The aim of this study is to help digital forensics analysts during their investigations by means of providing an idea of the false negative rates of Stegdetect. This study found that (1) the false negative rates depended largely on the tool’s sensitivity values, (2) the tool had a high false negative rate between the sensitivity values from 0.1 to 3.4 and (3) the best sensitivity value for detection of JPHide method was 6.2. It is therefore recommended that when analysing a huge bulk of images forensic analysts need to take into consideration sensitivity values to reduce the false negative rates of Stegdetect.

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“…In recent times, the rapid growth in computer technology has become core in our lives. complex algorithms have been developed to secure information privacy [2]. Cryptography is intended to conceal the content of messages via data encryption or scrambling, but it cannot It has been an ongoing debate whether steganography is actually used by terrorists or criminals.…”

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confidence: 99%

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Supplemental Information 26: The Detection Results for University of Washington Images

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Steganography and Steganalysis in recent years have become an important area of research involving dierent applications. Steganography is the process of hiding secret data into any digital media without any signicant notable changes in a cover object, while steganalysis is the process of detecting hiding content in the cover object. In this study, we evaluated one of the modern automated steganalysis tools, Stegdetect, to study its false negative rates when analysing a bulk of images. In so doing, we used JPHide method to embed a randomly generated messages into 2000 JPEG images. The aim of this study is to help digital forensics analysts during their investigations by means of providing an idea of the false negative rates of Stegdetect. This study found that (1) the false negative rates depended largely on the tool's sensitivity values, (2) the tool had a high false negative rate between the sensitivity values from 0.1 to 3.4 and (3) the best sensitivity value for detection of JPHide method was 6.2. It is recommended that when analysing a huge bulk of images forensic analysts need to take into consideration sensitivity values to reduce the false negative rates of Stegdetect.

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RETRACTED ARTICLE: Image steganography using cosine transform with large-scale multimedia applications

Cited by 8 publications

References 17 publications

Double-Matrix Decomposition Image Steganography Scheme Based on Wavelet Transform with Multi-Region Coverage

Double-Matrix Decomposition Image Steganography Scheme Based on Wavelet Transform with Multi-Region Coverage

A False Negative Study of the Steganalysis Tool Stegdetect

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