A steganographic method using Bernoulli’s chaotic maps

Martínez-González, Ricardo Francisco; Diaz-Mendez, Jose Alejandro; Palacios-Luengas, Leonardo; López-Hernández, Juan; Vázquez-Medina, Rubén

doi:10.1016/j.compeleceng.2015.12.005

Cited by 29 publications

(6 citation statements)

References 9 publications

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“…But once the embedding algorithm is revealed for the stego image, any malicious individual could extract the secret information easily, so encrypting the secret data [15] is a necessary for their scheme. Keeping this in mind several schemes based on secret keys have been proposed in recent years [16]. Recently, Yadav and Ojha [17] proposed a more efficient scheme to embed the secret data into random locations of the image through chaotic systems for security, which provides a higher payload and imperceptibility.…”

Section: Introductionmentioning

confidence: 99%

An efficient and adaptive data-hiding scheme based on secure random matrix

Zhang

Harn

2019

PLoS ONE

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There is a vivid research on securely deliver a secret message by using a data hiding technique in digital images. However, most existing solutions of data-hiding need to encrypt secret data first, and embed the encrypt message into cover image, which is not promising any security once the embedding algorithm is leaked. In this paper, an efficient and adaptive data hiding scheme is presented which is based on a new reference matrix named secure reference matrix. The scheme is flexible enough to meet different data hiding capacities and image quality as needed, and we allow the reference matrix to be more secure since it is randomly generated each time and make it much harder for being attack with exhaustive manner by extending the possible solution. We give the detail protocol for our scheme and provide the practical test and performance analysis. Experimental results show that our scheme has a better flexibility and efficiency in embedding process, and the average value of Peak Signal to Noise Ratio (PSNR) for the stego-images which are generated by our scheme have a higher visual quality for different embedding capacities, and our scheme is more efficient compared with related work.

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Section: Introductionmentioning

confidence: 99%

An efficient and adaptive data-hiding scheme based on secure random matrix

Zhang

Harn

2019

PLoS ONE

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“…Ghebleh and Kanso in 2014 proposed a method for embedding a binary message randomly in selected detail coefficients of the discrete wavelet transform of a cover image using a 3D chaotic cat map. The results showed that the proposed method has good imperceptibility and high sensitivity to the secret key [13]. Martnez-Gonzlez et al in 2015 proposed a method for hiding text in color images.…”

Section: Related Workmentioning

confidence: 96%

Chaos-based Color Image Steganography Method Using 3 D Cat Map

Hameed

Ali

Al-Khafaji

et al. 2021

eijs

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Steganography is a technique to hide a secret message within a different multimedia carrier so that the secret message cannot be identified. The goals of steganography techniques include improvements in imperceptibility, information hiding, capacity, security, and robustness. In spite of numerous secure methodologies that have been introduced, there are ongoing attempts to develop these techniques to make them more secure and robust. This paper introduces a color image steganographic method based on a secret map, namely 3-D cat. The proposed method aims to embed data using a secure structure of chaotic steganography, ensuring better security. Rather than using the complete image for data hiding, the selection of the image band and pixel coordination is adopted, using the 3D map that produces irregular outputs for embedding a secret message randomly in the least significant bit (LSB) of the cover image. This increases the complexity encountered by the attackers. The performance of the proposed method was evaluated and the results reveal that the proposed method provides a high level of security through defeating various attacks, such as statistical attacks, with no detectable distortion in the stego-image. Comparison results ensure that the proposed method surpasses other existing steganographic methods regarding the Mean Square Error (MSE) and Peak Signal-to-Noise Ratio(PSNR).

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“…According to scientific literature, several authors [60,61,65] have proposed novel steganographic algorithms based on chaotic maps, which are nonlinear systems suitable to design secure embedding methods [48]. Indeed, these systems are characterized by a pseudo random behavior and an high sensitivity to initial conditions and control, unpredictability, ergodicity, etc [36].…”

Section: Generation Of Chaotic Positionsmentioning

confidence: 99%

Hiding data inside images using orthogonal moments

Soria-Lorente¹,

Berres²,

Avila-Domenech³

2019

Preprint

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In this contribution we propose a novel steganographic method based on several orthogonal polynomials and their combinations. The steganographic algorithm embeds a secrete message at the first eight coefficients of high frequency image. Moreover, this embedding method uses the Beta chaotic map to determine the order of the blocks where the secret bits will be inserted. In addition, from a 128-bit private key and the steps of a cryptography algorithm according to the Advanced Encryption Standard (AES) to generate the key expansion, the proposed method generates a key expansion of 2560 bits, with the purpose to permute the first eight coefficients of high frequency before the insertion. The insertion takes eventually place at the first eight high frequency coefficients in the transformed orthogonal moments domain. Before the insertion of the message the image undergoes a series of transformations. After the insertion the inverse transformations are applied to the original transformations in reverse order. The experimental work on the validation of the algorithm consists of the calculation of the Peak Signal-to-Noise Ratio (PSNR), the Universal Image Quality Index (UIQI), the Image Fidelity (IF), and the Relative Entropy (RE), comparing the same characteristics for the cover and stego image. The proposed algorithm improves the level of imperceptibility and security analyzed through the PSNR and RE values, respectively.

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A steganographic method using Bernoulli’s chaotic maps

Cited by 29 publications

References 9 publications

An efficient and adaptive data-hiding scheme based on secure random matrix

An efficient and adaptive data-hiding scheme based on secure random matrix

Chaos-based Color Image Steganography Method Using 3 D Cat Map

Hiding data inside images using orthogonal moments

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