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Image Encryption Application of Chaotic Sequences Incorporating Quantum Keys

文献类型：期刊论文

作者Bin Ge; Hai-Bo Luo
刊名International Journal of Automation and Computing
出版日期2020
卷号17期号:1页码:123-138
关键词Logistic chaotic system quantum key nonlinear operation sequence performance image encryption algorithm.
ISSN号1476-8186
DOI10.1007/s11633-019-1173-z
英文摘要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.
源URL[http://ir.ia.ac.cn/handle/173211/42315]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位School of Computer Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
推荐引用方式
GB/T 7714		 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.

入库方式： OAI收割

来源：自动化研究所

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