Reversible cellular automata image encryption for similarity search

2019 ◽  
Vol 72 ◽  
pp. 134-147 ◽  
Author(s):  
Yingri Su ◽  
Yan Wo ◽  
Guoqiang Han
2011 ◽  
Vol 08 (03) ◽  
pp. 227-241 ◽  
Author(s):  
I. A. ISMAIL ◽  
A. A. ABDO ◽  
M. AMIN ◽  
H. DIAB

Based on memory reversible cellular automata, a new self-adaptive image encryption is proposed in this paper. The self-adaptive encryption is realized by dividing the image data in to equal halves and then encrypting each half of image data using other mutually. We utilize cellular neural network chaotic system as a pseudo-random key sequence generation. Simulation results on some gray level images confirm that the proposed algorithm can be realized easily while guaranteeing high security and sensitivity levels, and other properties such as randomness.


2019 ◽  
Vol 1 (1) ◽  
Author(s):  
AliMohammad Latif ◽  
Zeinab Mehrnahad

In this paper, a new scheme for image encryption is presented by reversible cellular automata. The presented scheme is applied in three individual steps. Firstly, the image is blocked and the pixels are substituted by a reversible cellular automaton. Then, image pixels are scrambled by an elementary cellular automata and finally the blocks are attached and pixels are substituted by an individual reversible cellular automaton. Due to reversibility of used cellular automata, decryption scheme can reversely be applied. The experimental results show that encrypted image is suitable visually and this scheme has satisfied quantitative performance.


2021 ◽  
Vol 61 ◽  
pp. 102919
Author(s):  
Satyabrata Roy ◽  
Manu Shrivastava ◽  
Umashankar Rawat ◽  
Chirag Vinodkumar Pandey ◽  
Sanjeet Kumar Nayak

2017 ◽  
Vol 90 ◽  
pp. 225-237 ◽  
Author(s):  
Abolfazl Yaghouti Niyat ◽  
Mohammad Hossein Moattar ◽  
Masood Niazi Torshiz

Complexity ◽  
2014 ◽  
Vol 20 (1) ◽  
pp. 49-56 ◽  
Author(s):  
Ramón Alonso-Sanz

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