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Coupling Quantum Random Walks with Long- and Short-Term Memory for High Pixel Image Encryption Schemes

This paper proposes an encryption scheme for high pixel density images. Based on the application of the quantum random walk algorithm, the long short-term memory (LSTM) can effectively solve the problem of low efficiency of the quantum random walk algorithm in generating large-scale pseudorandom mat...

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Autores principales: Liang, Junqing, Song, Zhaoyang, Sun, Zhongwei, Lv, Mou, Ma, Hongyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954812/
https://www.ncbi.nlm.nih.gov/pubmed/36832719
http://dx.doi.org/10.3390/e25020353
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author Liang, Junqing
Song, Zhaoyang
Sun, Zhongwei
Lv, Mou
Ma, Hongyang
author_facet Liang, Junqing
Song, Zhaoyang
Sun, Zhongwei
Lv, Mou
Ma, Hongyang
author_sort Liang, Junqing
collection PubMed
description This paper proposes an encryption scheme for high pixel density images. Based on the application of the quantum random walk algorithm, the long short-term memory (LSTM) can effectively solve the problem of low efficiency of the quantum random walk algorithm in generating large-scale pseudorandom matrices, and further improve the statistical properties of the pseudorandom matrices required for encryption. The LSTM is then divided into columns and fed into the LSTM in order for training. Due to the randomness of the input matrix, the LSTM cannot be trained effectively, so the output matrix is predicted to be highly random. The LSTM prediction matrix of the same size as the key matrix is generated based on the pixel density of the image to be encrypted, which can effectively complete the encryption of the image. In the statistical performance test, the proposed encryption scheme achieves an average information entropy of 7.9992, an average number of pixels changed rate (NPCR) of 99.6231%, an average uniform average change intensity (UACI) of 33.6029%, and an average correlation of 0.0032. Finally, various noise simulation tests are also conducted to verify its robustness in real-world applications where common noise and attack interference are encountered.
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spelling pubmed-99548122023-02-25 Coupling Quantum Random Walks with Long- and Short-Term Memory for High Pixel Image Encryption Schemes Liang, Junqing Song, Zhaoyang Sun, Zhongwei Lv, Mou Ma, Hongyang Entropy (Basel) Article This paper proposes an encryption scheme for high pixel density images. Based on the application of the quantum random walk algorithm, the long short-term memory (LSTM) can effectively solve the problem of low efficiency of the quantum random walk algorithm in generating large-scale pseudorandom matrices, and further improve the statistical properties of the pseudorandom matrices required for encryption. The LSTM is then divided into columns and fed into the LSTM in order for training. Due to the randomness of the input matrix, the LSTM cannot be trained effectively, so the output matrix is predicted to be highly random. The LSTM prediction matrix of the same size as the key matrix is generated based on the pixel density of the image to be encrypted, which can effectively complete the encryption of the image. In the statistical performance test, the proposed encryption scheme achieves an average information entropy of 7.9992, an average number of pixels changed rate (NPCR) of 99.6231%, an average uniform average change intensity (UACI) of 33.6029%, and an average correlation of 0.0032. Finally, various noise simulation tests are also conducted to verify its robustness in real-world applications where common noise and attack interference are encountered. MDPI 2023-02-14 /pmc/articles/PMC9954812/ /pubmed/36832719 http://dx.doi.org/10.3390/e25020353 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liang, Junqing
Song, Zhaoyang
Sun, Zhongwei
Lv, Mou
Ma, Hongyang
Coupling Quantum Random Walks with Long- and Short-Term Memory for High Pixel Image Encryption Schemes
title Coupling Quantum Random Walks with Long- and Short-Term Memory for High Pixel Image Encryption Schemes
title_full Coupling Quantum Random Walks with Long- and Short-Term Memory for High Pixel Image Encryption Schemes
title_fullStr Coupling Quantum Random Walks with Long- and Short-Term Memory for High Pixel Image Encryption Schemes
title_full_unstemmed Coupling Quantum Random Walks with Long- and Short-Term Memory for High Pixel Image Encryption Schemes
title_short Coupling Quantum Random Walks with Long- and Short-Term Memory for High Pixel Image Encryption Schemes
title_sort coupling quantum random walks with long- and short-term memory for high pixel image encryption schemes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954812/
https://www.ncbi.nlm.nih.gov/pubmed/36832719
http://dx.doi.org/10.3390/e25020353
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