Chaos-based image encryption using a hybrid genetic algorithm and a DNA sequence

By R. Enayatifar, A. Abdullah, I. Isnin. 2014

395 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/cf151d3c1ee9f357f691f971fa2e236d0c0806f4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Yingqian Zhang
2. Lintao Liu
3. Xing-yuan Wang
4. Chunhua Wang
5. Hua Chen
6. Yueping Li

In Computer Vision and Pattern Recognition

1. Xing-yuan Wang
2. Yingqian Zhang
3. Lintao Liu
4. Zhiliang Zhu
5. Libo Zhang
6. Benqiang Yang
7. Junxin Chen
8. Yushu Zhang

In Molecular Biology

1. Yingqian Zhang
2. Lintao Liu
3. Xing-yuan Wang

Citations in the corpus

• A novel chaotic block image encryption algorithm based on dynamic random growth technique (2015, methodology): “Recently, some image encryption schemes using double images are proposed to get a good encryption effect [11,12], while other people proposed method using genetic algorithm and DNA sequence [13].”
• Exploiting self-adaptive permutation-diffusion and DNA random encoding for secure and efficient image encryption (2018, background): “In [20-24], logistic map and its variants are adopted as key”