Multiple-Image Encryption Using Genetic Algorithm

2015 ◽  
pp. 145-153 ◽  
Author(s):  
Subhajit Das ◽  
SatyendraNath Mandal ◽  
Nabin Ghoshal
Keyword(s):  
Genetic Algorithm ◽  
Image Encryption ◽  
Multiple Image

A Novel Approach in Symmetric Key Image Encryption Using Genetic Algorithm

2016 ◽  
Vol 14 (0) ◽  
pp. 91
Author(s):  
Subhajit Das ◽  
Satyendra Nath Mandal
Keyword(s):  
Genetic Algorithm ◽  
Image Encryption ◽  
Novel Approach ◽  
Symmetric Key

Combining improved genetic algorithm and matrix semi-tensor product (STP) in color image encryption

2021 ◽  
Vol 183 ◽  
pp. 108041
Author(s):  
Xiuli Chai ◽  
Xiangcheng Zhi ◽  
Zhihua Gan ◽  
Yushu Zhang ◽  
Yiran Chen ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Tensor Product ◽  
Image Encryption ◽  
Color Image ◽  
Improved Genetic Algorithm ◽  
Color Image Encryption

Multiple-image encryption based on cascaded gyrator transforms and high-dimensional chaotic system

2021 ◽  
Author(s):  
Xiaoni Sun ◽  
Zhuhong Shao ◽  
Yuanyuan Shang ◽  
Mingxian Liang ◽  
Fengjian Yang
Keyword(s):  
Image Encryption ◽  
Chaotic System ◽  
High Dimensional ◽  
Multiple Image

scholarly journals Hybrid Image Encryption Technique Using Genetic Algorithm and Lorenz Chaotic System

2020 ◽  
Vol 32 ◽  
pp. 03009
Author(s):  
Vishwanath Chikkareddi ◽  
Anurag Ghosh ◽  
Preksha Jagtap ◽  
Sahil Joshi ◽  
Jeel Kanzaria
Keyword(s):  
Genetic Algorithm ◽  
Image Encryption ◽  
Chaotic System ◽  
Random Number ◽  
Current Image ◽  
Space Efficiency ◽  
Highly Sensitive ◽  
Key Sensitivity ◽  
Lorenz Chaotic System ◽  
Time And Space Complexity

One of the important application of image encryption is storing confidential and important images on a local device or a database in such a way that only the authorized party can view or perceive it. The current image encryption technique employs the genetic algorithm to increase confusion in the image, but compromises in time and space complexity. The other method employs chaos or pseudo random number generating systems which have fast and highly sensitive keys but fails to make the image sufficiently noisy and is risky due to its deterministic nature. We propose a technique which employs the non-deterministic, optimizing power of genetic algorithm and the space efficiency and key sensitivity of chaotic systems into a unified, efficient algorithm which will retain the merits of both the methods whereas tries to minimize their demerits in a software system. The encryption process proceeds in two steps, generating two keys. First, an encryption sequence is generated using Lorenz Chaotic system of differential equation. The seed values used are the user’s actual key having key sensitivity of 10-14. Second, the encrypted image’s genetic encryption sequence is generated which will result in an encrypted image with entropy value greater than 7.999 thus ensuring the image is very noisy. Proposed technique uses variations of Lorenz system seed sets to generate all random mutations and candidate solutions in Genetic encryption. Since only the seed sets leading to desired solution is stored, space efficiency is higher compared to storing the entire sequences. Using this image encryption technique we will ensure that the images are hidden securely under two layers of security, one chaotic and other non-deterministic.

Optical multiple-image encryption based on phase encoding algorithm in the Fresnel transform domain

2012 ◽  
Vol 44 (7) ◽  
pp. 2238-2244 ◽  
Author(s):  
Jian-Ji Huang ◽  
Hone-Ene Hwang ◽  
Chun-Yuan Chen ◽  
Ching-Mu Chen
Keyword(s):  
Image Encryption ◽  
Transform Domain ◽  
Phase Encoding ◽  
Multiple Image ◽  
Fresnel Transform

Position multiplexing for multiple-image encryption

2006 ◽  
Vol 8 (5) ◽  
pp. 391-397 ◽  
Author(s):  
Guohai Situ ◽  
Jingjuan Zhang
Keyword(s):  
Image Encryption ◽  
Multiple Image

Binary-tree encryption strategy for optical multiple-image encryption

2016 ◽  
Vol 55 (20) ◽  
pp. 5280 ◽  
Author(s):  
Jiawang Yi ◽  
Guanzheng Tan
Keyword(s):  
Image Encryption ◽  
Binary Tree ◽  
Multiple Image

scholarly journals Multiple-image encryption by compressive holography

2012 ◽  
Vol 51 (7) ◽  
pp. 1000 ◽  
Author(s):  
Hong Di ◽  
Kangfeng Zheng ◽  
Xin Zhang ◽  
Edmund Y. Lam ◽  
Taegeun Kim ◽  
...  
Keyword(s):  
Image Encryption ◽  
Multiple Image ◽  
Compressive Holography
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