Content-Adaptive Steganography by Minimizing Statistical Detectability

Sedighi, Vahid; Cogranne, Rémi; Fridrich, Jessica

doi:10.1109/tifs.2015.2486744

Cited by 465 publications

(319 citation statements)

References 36 publications

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“…In the base of MV and MVGG, paper [21] propose the MiPOD (Minimizing the Power of Optimal Detector) algorithm, which is based on a locally-estimated multivariate Gaussian cover image model that is sufficiently simple to derive a closed-form expression for the power of the most powerful detector of content-adaptive LSB matching. At the same time, the proposed model is complex enough to capture the non-stationary character of natural images.…”

Section: Model Driven Methodsmentioning

confidence: 99%

Review of distortion function design in spatial domain

Li¹

2017

Proceedings of the 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)

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Abstract. In modern steganography, designing a distortion function to get the cost for every cover elements is an open problem. Many researchers have proposed a lot of different valuable distortion functions from different point of view. In this paper, the distortion function are classified to three categories, the first is from the view of steganalysis to design distortion function, the second is the distortion function are designed by filters bank, the third is the distortion function is designed begin with a well model of images. It is hoped that the summarized result in this paper is valuable for designing other better distortion function.

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Section: Model Driven Methodsmentioning

confidence: 99%

Review of distortion function design in spatial domain

Li¹

2017

Proceedings of the 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)

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“…For example, schemes in [6] [7] extract the directional residuals of a cover image through filtering to define the textural region that is hard to model. Scheme in [8] [9] uses the multivariate Gaussian cover model to minimize the embedding distortion on statistics. What's more, thanks to the research of Syndrome-Trellis Codes (STC) [10], researchers no longer need to pay attention on the site of embedding, but only consider how to choose more appropriate distortion function.…”

Section: Journal Of Computer and Communicationsmentioning

confidence: 99%

Identity-Based Steganography in Spatial Domain

Xu¹,

Nie²

2018

JCC

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This paper proposed an identity-based steganographic scheme, where a receiver with certain authority can recover the secret message ready for him, but cannot detect the existence of other secret messages. The proposed scheme created several separate covert communication channels tagged by the Fuzzy Identity-Based Encryption (FIBE) in one grayscale image. Then each channel is used to embed one secret message by using any content-aware steganographic scheme. Receivers with different attributes can extract different messages corresponded. The Experiments illustrated the feasibility of this identity-based secret message extraction. Further, the proposed scheme presents high undetectability against steganalytic attack launched by receivers without corresponded attributes.

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“…However, the researchers only have to choose one of these three protocols. These protocols are secret key steganography, pure steganography, and public key steganography as stated in [20,21,22]. …”

Section: Steganography Protocolsmentioning

confidence: 99%

A Survey of Spatial Domain Techniques in Image Steganography

Awad

2018

eduj

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This paper presents the most techniques of spatial domain that used in image steganography where it is used to hide confidential message under a cover image. Steganography is a much better way to convey a secret message compared to cryptography. This is because cryptography is outlawed while steganography can avoid such policies to pass message covertly. Steganography is one of the most common techniques of securing information, which insists on concealing the clandestine data within the cover image in a way that nobody suspects to its existence. The challenge of steganography techniques is to make a reasonable balance between the file and the size of data that can be exchanged. Furthermore, the strength of the strategy and the security of the mysterious data are the fact that can't be hidden.

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Content-Adaptive Steganography by Minimizing Statistical Detectability

Cited by 465 publications

References 36 publications

Review of distortion function design in spatial domain

Review of distortion function design in spatial domain

Identity-Based Steganography in Spatial Domain

A Survey of Spatial Domain Techniques in Image Steganography

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