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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| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Stefan cel Mare University of Suceava
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/9763c9adbb224b469736596a21cf663a |
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| Sumario: | 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. |
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