Novel quantum steganography with large payload

Qu, Zhiguo; Chen, Xiu-Bo; Zhou, Xinjie; Niu, Xinxin; Yang, Yixian

doi:10.1016/j.optcom.2010.06.083

Cited by 69 publications

(70 citation statements)

References 17 publications

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“…This paper shed the light on the recently proposed quantum steganography protocols. In [7] Qu et al presented a quantum steganography protocol with a large payload to transmit 4-bit secret message. In [8] Xu et al proposed a quantum steganography scheme to transmit 4-bit secret message without consuming any auxiliary quantum states.…”

Section: Introductionmentioning

confidence: 99%

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Improvement of Quantum Steganography Protocol Based on the Tensor Product of Bell States

Li¹,

Abd-El-Atty²,

Amin³

et al. 2017

dtcse

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Abstract. Quantum steganography is the art of hiding secret information in an insecure quantum channel. Recently, it is proposed a quantum steganography protocol based on the tensor product of Bell states to transmit classical 4-bit secret message per round. However, it has permits a small hidden capacity. In this work, an improvement of that quantum steganography protocol to transmit 8-bit secret message per round is proposed. The improved protocol uses tensor product of Bell states and unitary transformations with two groups of sixteen tensor products of two Bell states rather than 256 elements of tensor product of four Bell states. Simulations conducted shows that the improved protocol has superior performance in terms of imperceptibility as well as high security compared with the competitive protocol.

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Section: Introductionmentioning

confidence: 99%

“…The hidden capacity of [4] is only one bit, the hidden capacity of [5,6] is also only one bit and the hidden capacity of [7] is four bits per round covert communication. Although the capacity of the hidden channel in [8] can achieve four bits per round covert communication, we still think that it should be further improved.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Quantum Steganography Protocol Based on the Tensor Product of Bell States

Li¹,

Abd-El-Atty²,

Amin³

et al. 2017

dtcse

View full text Add to dashboard Cite

show abstract

“…Quantum Key Distribution (QKD) uses quantum mechanics for secure communication [12]. Quantum Distribution has the unique property to detect the intruder trying to gain the knowledge of the key [26][27][28]. QKD provides perfect secrecy since it is based on the uncertainty principle of quantum physics [4,7,17,19,25,27,30].…”

Section: Introductionmentioning

confidence: 99%

Convoluted Rubik's encoded quantum polarized-a secure DICOM image

Praveenkumar

Priya

Thenmozhi

et al. 2016

2016 International Conference on Computer Communication and Informatics (ICCCI)

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nowadays information is shared through online resources. It is necessary to provide security to the shared information. To maintain the secrecy of the information shared various techniques are used. Enabling multiple encryptions will disable the interloper to recover the information and to strengthen the security multi fold. Multiple Encryption are performed by shifting the particular block of the image using quantum polarization states, then the shifted output are coded using Convolution encoder and finally encrypted using Rubik's encryption algorithm. Result analysis was performed for DICOM images based on the statistical and security analysis.

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“…Robust performance is a key feature of the watermarking schemes [3][4][5]. In steganography, the hidden message often has nothing to do with the host media; however, both hiding capacity and perceived quality are the two areas of concern pursued by the authors [6][7][8]. One of the major issues of the steganographic approach is that the marked images are susceptible to manipulation.…”

Section: Introductionmentioning

confidence: 99%

Reversible Data Hiding Using Two Marked Images Based on Adaptive Coefficient-Shifting Algorithm

Yang

2012

Advances in Multimedia

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This paper proposes a novel form of reversible data hiding using two marked images by employing the adaptive coefficient-shifting (ACS) algorithm. The proposed ACS algorithm consists of three parts: the minimum-preserved scheme, the minimum-preserved with squeezing scheme, and the base-value embedding scheme. More specifically, each input block of a host image can be encoded to two stego-blocks according to three predetermined rules by the above three schemes. Simulations validate that the proposed method not only completely recovers the host medium but also losslessly extracts the hidden message. The proposed method can handle various kinds of images without any occurrence of overflow/underflow. Moreover, the payload and peak signal-tonoise ratio (PSNR) performance of the proposed method is superior to that of the conventional invertible data hiding schemes. Furthermore, the number of shadows required by the proposed method is less than that required by the approaches which are based upon secret image sharing with reversible steganography.

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Novel quantum steganography with large payload

Cited by 69 publications

References 17 publications

Improvement of Quantum Steganography Protocol Based on the Tensor Product of Bell States

Improvement of Quantum Steganography Protocol Based on the Tensor Product of Bell States

Convoluted Rubik's encoded quantum polarized-a secure DICOM image

Reversible Data Hiding Using Two Marked Images Based on Adaptive Coefficient-Shifting Algorithm

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