Chaos based Zero-steganography algorithm

Bilal, Muhammad; Imtiaz, Sana; Abdul, Wadood; Ghouzali, Sanaa; Asif, Shahzad

doi:10.1007/s11042-013-1415-y

Cited by 30 publications

(28 citation statements)

References 28 publications

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“…Bilal et al (2013) proposed an algorithm hides the payload based on certain relationship between the cover image, chaotic sequence and the payload, instead of directly embedding payload into the cover image which often leaves telltale signs of steganography. Tayel et al (2012) proposed an algorithm based on coordinate the data in the image dimensions using chaos distribution arrangement.…”

Section: Literature Surveymentioning

confidence: 99%

An Efficient Image Generation Algorithm Using Fractals and Chaos Theory

Thamizhchelvy¹,

Geetha²

2015

Journal of Computer Science

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An Efficient Image Generation Algorithm is proposed. It generates Message Authentication Image (MAI) by using Fractals and chaos theory. The fractal images are generated by using Iterated Function System (IFS) techniques. We implemented and generated the fractal images exploring the properties of chaos. Chaos is an unpredictable behavior arises in a dynamical system so that the future behavior is not in a predictable way. Chaos is based on the initial condition that is generated by Pseudo Random Number Generator (PRNG). The chaotic behavior of the system is also analyzed. We use these Fractal images as a digital signature. This technique can be employed in online transactions like Banking, Shopping. to avoid phishing and also we can watermark this fractal image and use it for government and private identification proofs.

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Section: Literature Surveymentioning

confidence: 99%

An Efficient Image Generation Algorithm Using Fractals and Chaos Theory

Thamizhchelvy¹,

Geetha²

2015

Journal of Computer Science

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“…Ghebleh and Kanso [18] developed a new robust chaotic method for digital image steganography, in which a 3D chaotic cat map is used to embed secret messages, lifted DWT is adopted to provide robustness, and Sweldens' lifting is used to ensure integer-to-integer transformation. Bilal, Imtiaz, Abdul, Ghouzali and Asif [19] introduced a zerosteganography algorithm based on chaos theory which embeds data according to the relationship between cover images, chaotic sequences and payloads rather than directly embedding data in cover images. Alam, Kumar, Siddiqui and Ahmad [20] improved a method for image steganography by utilising edge detection and logistic maps as a random generator of secret keys for random LSB substitution.…”

Section: Introductionmentioning

confidence: 99%

Image steganography using least significant bit and secret map techniques

Alabaichi¹,

Al-Dabbas²,

Salih³

2020

IJECE

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In steganography, secret data are invisible in cover media, such as text, audio, video and image. Hence, attackers have no knowledge of the original message contained in the media or which algorithm is used to embed or extract such message. Image steganography is a branch of steganography in which secret data are hidden in host images. In this study, image steganography using least significant bit and secret map techniques is performed by applying 3D chaotic maps, namely, 3D Chebyshev and 3D logistic maps, to obtain high security. This technique is based on the concept of performing random insertion and selecting a pixel from a host image. The proposed algorithm is comprehensively evaluated on the basis of different criteria, such as correlation coefficient, information entropy, homogeneity, contrast, image, histogram, key sensitivity, hiding capacity, quality index, mean square error (MSE), peak signal-to-noise ratio (PSNR) and image fidelity. Results show that the proposed algorithm satisfies all the aforementioned criteria and is superior to other previous methods. Hence, it is efficient in hiding secret data and preserving the good visual quality of stego images. The proposed algorithm is resistant to different attacks, such as differential and statistical attacks, and yields good results in terms of key sensitivity, hiding capacity, quality index, MSE, PSNR and image fidelity.

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“…Digital images as important carrier information are widely used in steganography. Presently steganography has achieved lots of research results, mainly in spatial and frequency domain of the image [1][2][3][4][5][6][7]. LSB (Least Significant Bit) replacement algorithm is proposed in [1].…”

Section: Introductionmentioning

confidence: 99%

“…The algorithm has good properties to avoid detection of LSB. Some literature [4][5][6][7][8][9][10] discusses the steganography of the frequency domain. In literature [5], the author combines the chaotic sequences and information hiding to propose a DCT (Discrete Cosine Transform) domain method based on Logistic map and achieves good robustness.…”

Section: Introductionmentioning

confidence: 99%

A Modification-Free Steganography Method Based on Image Information Entropy

Xia

2018

Security and Communication Networks

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In order to improve the security and robustness of the Information Steganography Algorithm under strictly controlled environment, a new algorithm of modification-free steganography based on image and big data is introduced in this paper. In the proposed algorithm, a mapping relationship between the hot image entropy and the secret information is constructed and the payload information is expressed by the mapping relation. At the same time, turbo code is introduced in order to improve robustness, the hot image comes from Internet image big data, and the library of hot image is established. The performance of the proposed algorithm is analyzed using simulation experiment. Because of its none-modifying on carrier image, the results of experiment show that the proposed algorithm can achieve good performance in robustness analysis, dimension scaling attack, and rotation attack. In particular, in the test of dimension scaling attack and the rotation attack, the rate of data recovering can be over 95%. The proposed algorithm can be very valuable in the covert communication which requires high security and low volume, for example, the key exchange of symmetric encryption system.

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Chaos based Zero-steganography algorithm

Cited by 30 publications

References 28 publications

An Efficient Image Generation Algorithm Using Fractals and Chaos Theory

An Efficient Image Generation Algorithm Using Fractals and Chaos Theory

Image steganography using least significant bit and secret map techniques

A Modification-Free Steganography Method Based on Image Information Entropy

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