Double image encryption based on discrete multiple-parameter fractional Fourier transform and chaotic maps

2012 ◽  
Vol 285 (21-22) ◽  
pp. 4227-4234 ◽  
Author(s):  
Mingguang Shan ◽  
Jie Chang ◽  
Zhi Zhong ◽  
Bengong Hao
2016 ◽  
Vol 55 (9) ◽  
pp. 093109 ◽  
Author(s):  
Hongjie Zhao ◽  
Zhi Zhong ◽  
Weiwei Fang ◽  
Hong Xie ◽  
Yabin Zhang ◽  
...  

2018 ◽  
Vol 25 (6) ◽  
pp. 701-707 ◽  
Author(s):  
Guanghui Ren ◽  
Jianan Han ◽  
Jiahui Fu ◽  
Mingguang Shan

Author(s):  
Mona F. M. Mursi ◽  
Hossam Eldin H. Ahmed ◽  
Fathi E. Abd El-Samie ◽  
Ayman H. Abd El-Aziem

In this paper, the authors propose an image encryption scheme based on the development of a Hénon chaotic map using fractional Fourier transform (FRFT) which is introduced to satisfy the necessity of high secure image. This proposed algorithm combines the main advantages of confusion and diffusion with (FRFT), it use Arnold Cat map for confusion and Hénon chaotic map or one of the proposed Hénon chaotic maps for diffusion. The proposed algorithm is compared with some image encryption algorithms based on Arnold Cat map, Baker chaotic map, Hénon chaotic map and RC6. The authors perform a comparison between them in several experimental tests as statistical analyses, processing time and security analysis. The authors find from these comparison tests that the proposed algorithm demonstrates good result even better than RC6 and other chaotic maps in some cases.


2021 ◽  
Author(s):  
Tieyu Zhao ◽  
Yingying Chi

Abstract Multiple-parameter fractional Fourier transform (MPFRFT) is proposed and applied to image encryption. The MPFRFT with two vector parameters has better security, which becomes the main technical means to protect information security. However, our study found that many keys of the MPFRFT are invalid, which greatly reduces its security. Theoretical analysis and numerical simulation verify our point of view.


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