Quantum Steganography Using Two Hidden Thresholds
This paper describes a novel steganography algorithm that combines quantum computing with the least significant bit technique (LSB). Using the quantum properties, along with the Python programming language and the Qiskit framework for the circuit simulation, a sub-image can be hidden inside a usua...
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Stefan cel Mare University of Suceava
2021
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oai:doaj.org-article:9763c9adbb224b469736596a21cf663a2021-12-05T17:03:49ZQuantum Steganography Using Two Hidden Thresholds1582-74451844-760010.4316/AECE.2021.04009https://doaj.org/article/9763c9adbb224b469736596a21cf663a2021-11-01T00:00:00Zhttp://dx.doi.org/10.4316/AECE.2021.04009https://doaj.org/toc/1582-7445https://doaj.org/toc/1844-7600This paper describes a novel steganography algorithm that combines quantum computing with the least significant bit technique (LSB). Using the quantum properties, along with the Python programming language and the Qiskit framework for the circuit simulation, a sub-image can be hidden inside a usual image. For a gray image, this article presents how the LSB of each of the first 16 pixels on the edges can be used to hide two threshold values, that are then used to filter out the image and reveal the secret message. The speedup, compared to the classical version, is possible due to the quantum representation of an image (NEQR is used in this paper) and the efficiency of the novel multi-bit quantum comparators.TUDORACHE, A.-G.MANTA, V.CARAIMAN, S.Stefan cel Mare University of Suceavaarticledata securityimage communicationimage processingimage representationquantum computingElectrical engineering. Electronics. Nuclear engineeringTK1-9971Computer engineering. Computer hardwareTK7885-7895ENAdvances in Electrical and Computer Engineering, Vol 21, Iss 4, Pp 79-88 (2021) |
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data security image communication image processing image representation quantum computing Electrical engineering. Electronics. Nuclear engineering TK1-9971 Computer engineering. Computer hardware TK7885-7895 |
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data security image communication image processing image representation quantum computing Electrical engineering. Electronics. Nuclear engineering TK1-9971 Computer engineering. Computer hardware TK7885-7895 TUDORACHE, A.-G. MANTA, V. CARAIMAN, S. Quantum Steganography Using Two Hidden Thresholds |
description |
This paper describes a novel steganography algorithm that combines quantum computing with the least significant bit
technique (LSB). Using the quantum properties, along with the Python programming language and the Qiskit framework
for the circuit simulation, a sub-image can be hidden inside a usual image. For a gray image, this article presents
how the LSB of each of the first 16 pixels on the edges can be used to hide two threshold values, that are then used
to filter out the image and reveal the secret message. The speedup, compared to the classical version, is possible
due to the quantum representation of an image (NEQR is used in this paper) and the efficiency of the novel
multi-bit quantum comparators. |
format |
article |
author |
TUDORACHE, A.-G. MANTA, V. CARAIMAN, S. |
author_facet |
TUDORACHE, A.-G. MANTA, V. CARAIMAN, S. |
author_sort |
TUDORACHE, A.-G. |
title |
Quantum Steganography Using Two Hidden Thresholds |
title_short |
Quantum Steganography Using Two Hidden Thresholds |
title_full |
Quantum Steganography Using Two Hidden Thresholds |
title_fullStr |
Quantum Steganography Using Two Hidden Thresholds |
title_full_unstemmed |
Quantum Steganography Using Two Hidden Thresholds |
title_sort |
quantum steganography using two hidden thresholds |
publisher |
Stefan cel Mare University of Suceava |
publishDate |
2021 |
url |
https://doaj.org/article/9763c9adbb224b469736596a21cf663a |
work_keys_str_mv |
AT tudoracheag quantumsteganographyusingtwohiddenthresholds AT mantav quantumsteganographyusingtwohiddenthresholds AT caraimans quantumsteganographyusingtwohiddenthresholds |
_version_ |
1718371253006368768 |