A novel image encryption algorithm based on bit-level improved Arnold transform and hyper chaotic map

Author(s):  
Zhengchao Ni ◽  
Xuejing Kang ◽  
Lei Wang
2011 ◽  
Vol 341-342 ◽  
pp. 720-724 ◽  
Author(s):  
Wang Sheng Fang ◽  
Lu Lu Wu ◽  
Rong Zhang

One of the main purpose of the watermark preprocessing is to improve the robustness and security. For this reason,this paper presents an image encryption algorithm, which combines position scrambling and gray scrambling scrambled according to Arnold transform.Then all of the pixels of each sub-block are scambled by the algorithm based on Logistic chaotic map.Finally, all of the Pixels are redistributed and scrambled totally.Basing on image location scrambling,it takes advantage of multi-dimensional Arnold transformation and Logistic chaotic map, image gray scrambling is achieved. By histogram analysis,key sensitivity anslysis and correlation analysis of adjacent pixels of the results of the simulation, indicating that the scrambling effect of the algorithm is good,and the key space is large.


2020 ◽  
Vol 38 (3B) ◽  
pp. 98-103
Author(s):  
Atyaf S. Hamad ◽  
Alaa K. Farhan

This research presents a method of image encryption that has been designed based on the algorithm of complete shuffling, transformation of substitution box, and predicated image crypto-system. This proposed algorithm presents extra confusion in the first phase because of including an S-box based on using substitution by AES algorithm in encryption and its inverse in Decryption. In the second phase, shifting and rotation were used based on secrete key in each channel depending on the result from the chaotic map, 2D logistic map and the output was processed and used for the encryption algorithm. It is known from earlier studies that simple encryption of images based on the scheme of shuffling is insecure in the face of chosen cipher text attacks. Later, an extended algorithm has been projected. This algorithm performs well against chosen cipher text attacks. In addition, the proposed approach was analyzed for NPCR, UACI (Unified Average Changing Intensity), and Entropy analysis for determining its strength.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 23733-23746 ◽  
Author(s):  
Xingyuan Wang ◽  
Xiaoqiang Zhu ◽  
Yingqian Zhang

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