A posterior evaluation algorithm of steganalysis accuracy inspired by residual co-occurrence probability

Wang, Lina; Xu, Yinlong; Zhai, Liming; Ren, Yi; Du, Bo

doi:10.1016/j.patcog.2018.10.003

Cited by 12 publications

(15 citation statements)

References 19 publications

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“…In Ref. [26], Wang et al proposed an adaptive convolutionbased evaluation method of steganalysis accuracy. Their experimental results proved that an image with a small S value has low detection accuracy.…”

Section: Existing Workmentioning

confidence: 99%

“…However, this does not mean that all of the schemes, such as those presented in Refs. [26][27][28], are useless because a fast (although may not have an extremely high security level) algorithm, like the method proposed in this study, can be used for preselection to improve the entire running speed considerably. In Ref.…”

Section: Existing Workmentioning

confidence: 99%

“…In Ref. [26], Wang et al determined that the strength of pixel correlation indicates the noise level, which guarantees the security of the carrier. To further analyze the correlation between pixels, the linear regression of spatial pixels is discussed in the next subsection.…”

Section: Existing Workmentioning

confidence: 99%

“…Studies of embedding algorithm involve the former, and existing research on carrier effect, such as cover source mismatch [23][24][25] , carrier selection [26][27][28] , and calibration [29,30] , indicates that the latter has a significant influence on steganalysis. In other words, carrier signal disturbance or carrier selection before embedding helps hide information.…”

Section: Introductionmentioning

confidence: 99%

“…In other words, carrier signal disturbance or carrier selection before embedding helps hide information. Nevertheless, carriers with weak disturbance for steganalysis may lead to high-accuracy detection [26] . This means that the randomly selected carriers cannot provide a guarantee of expected security, even if an algorithm with a high security level and a low payload is utilized to embed secret information.…”

Section: Introductionmentioning

confidence: 99%

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Fast carrier selection of JPEG steganography appropriate for application

Ren

Xu²,

Zhai

et al. 2020

Tinshhua Sci. Technol.

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In recent years, the improvement of the security of steganography mainly involves not only carrier security but also distortion function. In the actual environment, the existing method of carrier selection is limited by its complex algorithm and slow running speed, making it not appropriate for rapid communication. This study proposes a method for selecting carriers and improving the security of steganography. JPEG images are decompressed to spatial domain. Then correlation coefficients between two adjacent pixels in the horizontal, vertical, counter diagonal, and major diagonal directions are calculated. The mean value of the four correlation coefficients is used to evaluate the security of each JPEG image. The images with low correlation coefficients are considered safe carriers and used for embedding in our scheme. The experimental results indicate that the stego images generated from the selected carriers exhibit a higher anti-steganalysis capability than those generated from the randomly selected carriers. Under the premise of the same security level, the images with low correlation coefficients have a high capacity. Our algorithm has a very fast running speed, and the running time of a 2048 2048 image is less than 1 s.

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Section: Existing Workmentioning

confidence: 99%

Section: Existing Workmentioning

confidence: 99%

Section: Existing Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Fast carrier selection of JPEG steganography appropriate for application

Ren

Xu²,

Zhai

et al. 2020

Tinshhua Sci. Technol.

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A survey of recent advances in image steganography

Kumar

Rani

Singh

2022

Security and Privacy

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Over the course of technological development, data security while transmission and storing has always been a field of continuous advancements and key importance. In the recent times, its importance has increased even further and the main reason behind this is the increase in the amount of data that is being transferred over internet and various networks. Although there are cryptographic approaches to handle these situations, steganography provides a different aspect to the solution. While cryptography encrypts the data such that the cipher text is visible to human eye, but the meaning of that encrypted text is never known. Steganography is the process of hiding data in plain sight inside some images, audio, video and so on, such that it is very difficult for the viewer to directly differentiate if there is some data hidden in the host or not. This paper consists a study of various methodologies to implement Image steganography like spatial domain manipulation, encryption based and deep learning approaches. The paper focuses upon recent advances in all these approaches for image steganography and aims to help other researches in this domain to understand recent developments as well future advancements possible in the same field. Furthermore, this paper illustrates about how different image formats effect various image steganography methods and how the various image color models interact with image steganography. Later this article sheds some light on the domain of steganalysis and reports about the fundamental principles as well as various implementations of steganalysis systems in recent times.

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Steganalysis of Very Low Embedded JPEG Image in Spatial and Transform Domain Steganographic Scheme Using SVM

Shankar

Upadhyay

2020

Innovations in Computer Science and Engineering

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A posterior evaluation algorithm of steganalysis accuracy inspired by residual co-occurrence probability

Cited by 12 publications

References 19 publications

Fast carrier selection of JPEG steganography appropriate for application

Fast carrier selection of JPEG steganography appropriate for application

A survey of recent advances in image steganography

Steganalysis of Very Low Embedded JPEG Image in Spatial and Transform Domain Steganographic Scheme Using SVM

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