A security improved image encryption scheme based on chaotic Baker map and hyperchaotic Lorenz system

Author(s):  
Chong Fu ◽  
Zhan kao Wen ◽  
Zhi liang Zhu ◽  
Hai Yu
2006 ◽  
Vol 352 (1-2) ◽  
pp. 78-82 ◽  
Author(s):  
Gonzalo Alvarez ◽  
Shujun Li

2020 ◽  
Vol 17 (5) ◽  
pp. 2130-2135
Author(s):  
S. Saravanan ◽  
M. Sivabalakrishnan

In this paper, we propose a new image encryption method based on Chaos Baker map and Lanczos algorithm. Two levels of security are achieved to enhance the level of image security. In the first level, the Chaotic Baker map is a randomization technique used to make the pixels more shuffled. A pseudo-random generator is used with the second-level Lanczos algorithm which is applied to generate eigenvalues and eigenvectors. The proposed method resists various attacks: plaintext attacks, maximum deviation, correlation analysis and key sensitivity. Experimental results show that this method has better time complexity when protecting images.


Recently, security for the image is becoming very important. Image Encryption is the only choice in protecting the digital image by transforming the image into an unreadable format. There are many methods used to protect against unauthorized access. This research proposes a framework for image encryption using Chaos Baker map with SHA-1 algorithm. The Chaotic Baker map is a randomization technique used to make the pixels more shuffled. Key generation is essential part of image encryption, which will be carried out by SHA-1 algorithm. Experimental results show that the proposed method is well suited for high security, key sensitivity and resists various attacks.


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