Improved chaos-based video steganography using DNA alphabets

Kar, Nirmalya; Mandal, Kaushik; Bhattacharya, Baby

doi:10.1016/j.icte.2018.01.003

Cited by 37 publications

(24 citation statements)

References 8 publications

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“…The stego file is directly built. For example, authors of LSB methods [3,8,9] extract the quantized samples in binary and replace the least significant bits of each sample by a secret bit. These works, including our previous papers [2,7], are well-known in terms of the simplicity of extracting the secret message.…”

Section: Audio Data Hiding Based On Time Domainmentioning

confidence: 99%

“…Currently, data hiding topic implies as the most well-known and adopted solution that is used for securing the transmitted information [1]. The solution happens by hiding the data known as a secret message within another file called cover, which can be either a grayscale or color image, compressed or uncompressed audio, video, or text file [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

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Reversible Data Hiding in Audio Based on Discrete Cosine Transform and Location Maps

Al-Hooti¹,

Ahmad²

2019

IJIES

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Transmitting information via public networks is prone to illegal attacks. Thus, data hiding is a suitable aspect that is useful to assure information security. Nowadays, multimedia tempering becomes the most variety problem that occurs on public networks. Audio steganography methods aim to hide secret data in an audio file called cover. Many methods in the time domain can hide large data (payload) with relatively low robustness. On the other hand, transformed based frequency algorithms can be more robust but the recovery of the cover audio is not guaranteed. In this paper, we investigate the time and frequency domains and tend to bridge gaps in the area of data hiding with the frequency transformation methods. In addition, we propose a new reversible audio data hiding based on Discrete Cosine Transform (DCT) and location maps. This kind of map helps to fully recover both the secret message and the cover file from the stego where the frequency sample values are increased or decreased by 10 in correspondence with the intended bit to be embedded. The experimental results prove that this method is able to hide high payload, and it is also robust since it guarantees 100% the reversibility of both the secret message and the cover audio file. The quality measured by Signal-to-noise ratio (SNR) is approximately 75 dB, Normalized Correlation (NC) value is 1.000, and Bit Error Rate (BER) is around 0.006. Additionally, this method is able to maintain the quality and invisibility, which may not be achieved by some previous research.

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Section: Audio Data Hiding Based On Time Domainmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reversible Data Hiding in Audio Based on Discrete Cosine Transform and Location Maps

Al-Hooti¹,

Ahmad²

2019

IJIES

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“…The discrete cosine transform (DCT) is applied to the LSB of an image's pixel values to generate a compressed steganography image. An emerging steganographic field based on DNA has been proposed by researchers as a new data hiding method [2]. One gram of DNA may hold up to 215 petabytes of data.…”

Section: Introductionmentioning

confidence: 99%

Improved Video Steganography with Dual Cover Medium, DNA and燙omplex燜rames

Sajjad¹,

Ashraf²,

Jhanjhi³

et al. 2023

Computers, Materials &Amp; Continua

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The most valuable resource on the planet is no longer oil, but data. The transmission of this data securely over the internet is another challenge that comes with its ever-increasing value. In order to transmit sensitive information securely, researchers are combining robust cryptography and steganographic approaches. The objective of this research is to introduce a more secure method of video steganography by using Deoxyribonucleic acid (DNA) for embedding encrypted data and an intelligent frame selection algorithm to improve video imperceptibility. In the previous approach, DNA was used only for frame selection. If this DNA is compromised, then our frames with the hidden and unencrypted data will be exposed. Moreover the frame selected in this way were random frames, and no consideration was made to the contents of frames. Hiding data in this way introduces visible artifacts in video. In the proposed approach rather than using DNA for frame selection we have created a fake DNA out of our data and then embedded it in a video file on intelligently selected frames called the complex frames. Using chaotic maps and linear congruential generators, a unique pixel set is selected each time only from the identified complex frames, and encrypted data is embedded in these random locations. Experimental results demonstrate that the proposed technique shows minimum degradation of the stenographic video hence reducing the very first chances of visual surveillance. Further, the selection of complex frames for embedding and creation of a fake DNA as proposed in this research have higher peak signal-to-noise ratio (PSNR) and reduced mean squared error (MSE) values that indicate improved results. The proposed methodology has been implemented in Matlab.

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“…For instance, chaos is applied in communication systems in An et al (2011), Eisencraft et al (2012), Hu et al (2010), Jiang et al (2011), Kaddoum et al (2010), Kang et al (2014), Ryu and Lee (2013), Türk and Oğraş (2011), Yang et al (2015), Yang and Zhu (2013); used for image cryptosystems in , Z. L. Zhu et al (2011), Murillo-Escobar et al (2015), Oğraş and Türk (2016), Patidar et al (2011), Telem et al (2014), Wang et al (2011), Ye (2011), Ye and Guo (2014), N. Zhou et al (2011), and H. Zhu et al (2013); for power systems in Yibei et al (2011), Ginarsa et al (2013), Yau et al (2015), Ghasemi et al,(2014), ; X. Zhou et al (2012); Tur and Ogras (2021); for Steganographic systems in Ogras (2019), Kar et al (2018), Bilal et al (2014), Battikh et al (2014), and Saeed (2013). There are also some important studies using chaotic systems as secret key or bit generators in cryptography (Addabbo et al, 2009;Alhadawi et al, 2019;Moysis et al, 2020;Oğraş & Mustafa, 2017).…”

Section: Introductionmentioning

confidence: 99%

An efficient color image encryption scheme based on a matrix scrambling method and a new hybrid chaotic map

Oğraş

2021

Cogent Engineering

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In this paper, an efficient chaos-based image encryption scheme for color images is proposed. This paper includes a strong displacement structure through a specified matrix scrambling method for pixel positions and a new hybrid chaotic map as a key generator for encryption. Chaotic Logistic map is used to generate binary bitstream for controlling diffusion process. The designed map exhibits superior performance in terms of key space range, complexity and chaotic substantiality that enhances security of the whole system. NPCR, UACI, MSE and PSNR values, which are frequently used in performance and security analysis in the field of image encryption, are at a satisfactory level and all parameters have successfully met the necessary conditions. For instance, in a good image encryption algorithm, ideal values of NPCR and UACI parameters should be 99.60% and 33.46%, respectively. The average results obtained in this study are very close to their ideal values as 99.6046 and 33.4733 for NPCR and UACI, respectively. According to a scientific study presented in the similar field, MSE value should be greater than 9,555; PSNR value must be less than 8.3875. In this study, average MSE and PSNR values calculated for six different test images are 10,315 and 7.9961, respectively. Some important analysis results have been compared to that of well-known Advanced Encryption Standard (AES) algorithm and a similar study presented in this field. Theoretical analysis and experimental results confirm that the proposed algorithm has great security and effectively encrypts and decrypts the color images with different sizes as well.

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Improved chaos-based video steganography using DNA alphabets

Cited by 37 publications

References 8 publications

Reversible Data Hiding in Audio Based on Discrete Cosine Transform and Location Maps

Reversible Data Hiding in Audio Based on Discrete Cosine Transform and Location Maps

Improved Video Steganography with Dual Cover Medium, DNA and燙omplex燜rames

An efficient color image encryption scheme based on a matrix scrambling method and a new hybrid chaotic map

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