A novel image encryption scheme based on substitution-permutation network and chaos

By Akram Belazi, A. El-latif, Safya Belghith. Signal Processing, 2016

443 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/ca3ac1655cafffdd8c9fbe6d427b935bb033aeb0

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. Zhiliang Zhu
2. Libo Zhang
3. Benqiang Yang
4. Junxin Chen
5. Yushu Zhang

Citations in the corpus

• Exploiting self-adaptive permutation-diffusion and DNA random encoding for secure and efficient image encryption (2018, methodology): “The innovations lie in various aspects, such as novel permutation techniques [3-6, 8-10], new diffusion approaches [7, 11, 12], high security key stream generators [13], simultaneous image encryption-compression scheme [14, 15], as well as novel transform domains [16, 17].”