Medical Image Encryption Based on Josephus Traversing and Hyperchaotic Lorenz System

被引:5
作者
Yang N. [1 ]
Zhang S. [1 ]
Bai M. [1 ]
Li S. [1 ]
机构
[1] School of Information Engineering, Chang’an University, Xi’an
基金
中国国家自然科学基金;
关键词
A; hyperchaotic Lorenz system; image encryption; Josephus traversing; medical image; R319; TP309.7;
D O I
10.1007/s12204-022-2555-x
中图分类号
学科分类号
摘要
This study proposes a new medical image encryption scheme based on Josephus traversing and hyperchaotic Lorenz system. First, a chaotic sequence is generated through hyperchaotic system. This hyperchaotic sequence is used in the scrambling and diffusion stages of the algorithm. Second, in the scrambling process, the image is initially confused by Josephus scrambling, and then the image is further confused by Arnold map. Finally, generated hyperchaos sequence and exclusive OR operation is used for the image to carry on the positive and reverse diffusion to change the pixel value of the image and further hide the effective information of the image. In addition, the information of the plaintext image is used to generate keys used in the algorithm, which increases the ability of resisting plaintext attack. Experimental results and security analysis show that the scheme can effectively hide plaintext image information according to the characteristics of medical images, and is resistant to common types of attacks. In addition, this scheme performs well in the experiments of robustness, which shows that the scheme can solve the problem of image damage in telemedicine. It has a positive significance for the future research. © 2022, Shanghai Jiao Tong University.
引用
收藏
页码:91 / 108
页数:17
相关论文
共 49 条
[1]  
El-Shafai W., Khallaf F., El-Rabaie E.S.M., Et al., Robust medical image encryption based on DNA-chaos cryptosystem for secure telemedicine and healthcare applications [J], Journal of Ambient Intelligence and Humanized Computing, 12, 10, pp. 9007-9035, (2021)
[2]  
Wahezi S.E., Kohan L.R., Spektor B., Et al., Telemedicine and current clinical practice trends in the COVID-19 pandemic [J], Best Practice & Research Clinical Anaesthesiology, 35, 3, pp. 307-319, (2021)
[3]  
Raj V., Janakiraman S., Amirtharajan R., Optimal concurrency on FPGA for lightweight medical image encryption [J], Journal of Intelligent & Fuzzy Systems, 40, 6, pp. 10385-10400, (2021)
[4]  
Liu S., Liu L., Pang M., Encryption method and security analysis of medical images based on stream cipher enhanced logical mapping [J], Technology and Health Care, 29, S1, pp. 185-193, (2021)
[5]  
Chai X.L., Zhi X.C., Gan Z.H., Et al., Combining improved genetic algorithm and matrix semi-tensor product (STP) in color image encryption [J], Signal Processing, 183, (2021)
[6]  
Chai X.L., Fu J.Y., Gan Z.H., Et al., An image encryption scheme based on multi-objective optimization and block compressed sensing [J], Nonlinear Dynamics, 108, 3, pp. 2671-2704, (2022)
[7]  
Chai X.L., Zhang J.T., Gan Z.H., Et al., Medical image encryption algorithm based on Latin Square and memristive chaotic system [J], Multimedia Tools and Applications, 78, 24, pp. 35419-35453, (2019)
[8]  
Ravichandran D., Praveenkumar P., Balaguru Rayappan J.B., Et al., Chaos based crossover and mutation for securing DICOM image [J], Computers in Biology and Medicine, 72, pp. 170-184, (2016)
[9]  
Wang M.X., Wang X.Y., Zhang Y.Q., Et al., A novel chaotic system and its application in a color image cryptosystem [J], Optics and Lasers in Engineering, 121, pp. 479-494, (2019)
[10]  
Abuhaiba Is I., Alsallut A.Y., Hejazi H.H., Et al., Cryptography using multiple two-dimensional chaotic maps [J], International Journal of Computer Network and Information Security, 4, 8, pp. 1-7, (2012)