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Image Encryption Application of Chaotic Sequences Incorporating Quantum Keys
Bin Ge; Hai-Bo Luo
发表期刊International Journal of Automation and Computing
ISSN1476-8186
2020
卷号17期号:1页码:123-138
摘要This paper proposes an image encryption algorithm LQBPNN (logistic quantum and back propagation neural network) based on chaotic sequences incorporating quantum keys. Firstly, the improved one-dimensional logistic chaotic sequence is used as the basic key sequence. After the quantum key is introduced, the quantum key is incorporated into the chaotic sequence by nonlinear operation. Then the pixel confused process is completed by the neural network. Finally, two sets of different mixed secret key sequences are used to perform two rounds of diffusion encryption on the confusing image. The experimental results show that the randomness and uniformity of the key sequence are effectively enhanced. The algorithm has a secret key space greater than 2182. The adjacent pixel correlation of the encrypted image is close to 0, and the information entropy is close to 8. The ciphertext image can resist several common attacks such as typical attacks, statistical analysis attacks and differential attacks.
关键词Logistic chaotic system quantum key nonlinear operation sequence performance image encryption algorithm.
DOI10.1007/s11633-019-1173-z
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被引频次:10[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/42315
专题学术期刊_Machine Intelligence Research
作者单位School of Computer Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
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Bin Ge,Hai-Bo Luo. Image Encryption Application of Chaotic Sequences Incorporating Quantum Keys[J]. International Journal of Automation and Computing,2020,17(1):123-138.
APA Bin Ge,&Hai-Bo Luo.(2020).Image Encryption Application of Chaotic Sequences Incorporating Quantum Keys.International Journal of Automation and Computing,17(1),123-138.
MLA Bin Ge,et al."Image Encryption Application of Chaotic Sequences Incorporating Quantum Keys".International Journal of Automation and Computing 17.1(2020):123-138.
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