Colour image encryption technique using differential evolution in non-subsampled contourlet transform domain
Manjit Kaur,Vijay Kumar +1 more
TL;DR: The experimental results reveal that the proposed differential evolution-based image encryption technique outperforms the other existing techniques in terms of security and better visual quality.
read more
Abstract: The main challenges of image encryption are robustness against attacks, key space, key sensitivity, and diffusion. To deal with these challenges, a differential evolution-based image encryption technique is proposed. In the proposed technique, two concepts are utilised to encrypt the images in an efficient manner. The first one is Arnold transform, which is utilised to permute the pixels position of an input image to generate a scrambled image. The second one is differential evolution, which is used to tune the parameters required by a beta chaotic map. Since the beta chaotic map suffers from parameter tuning issue. The entropy of an encrypted image is used as a fitness function. The proposed technique is compared with seven well-known image encryption techniques over five well-known images. The experimental results reveal that the proposed technique outperforms the other existing techniques in terms of security and better visual quality.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Color image encryption using non-dominated sorting genetic algorithm with local chaotic search based 5D chaotic map
TL;DR: An integrated non-dominated sorting genetic algorithm and local chaotic search based image encryption technique is proposed to tune the hyper-parameters of 5 D chaotic map (TFCM).
135
An efficient image encryption using non-dominated sorting genetic algorithm-III based 4-D chaotic maps
TL;DR: A non-dominated sorting genetic algorithm-III (NSGA-III) based 4-D chaotic map is designed, and a novel master-slave model for image encryption is designed to improve the computational speed of the proposed approach.
99
Combining improved genetic algorithm and matrix semi-tensor product (STP) in color image encryption
TL;DR: In this paper, a color image cryptosystem based on improved genetic algorithm and matrix semi-tensor product (STP) is introduced, which is composed of five stages, preprocessing, DNA encoding, crossover, mutation and DNA decoding.
96
Evolutionary-based image encryption using RNA codons truth table
TL;DR: The results approve high resistance of the proposed method against well-known attacks and entropy of 7.9987 regarding standard image of size 256 × 256 after 30 repetitions.
88
References
Communication theory of secrecy systems
TL;DR: A theory of secrecy systems is developed on a theoretical level and is intended to complement the treatment found in standard works on cryptography.
Differential Evolution: A Survey of the State-of-the-Art
TL;DR: A detailed review of the basic concepts of DE and a survey of its major variants, its application to multiobjective, constrained, large scale, and uncertain optimization problems, and the theoretical studies conducted on DE so far are presented.
Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
TL;DR: This paper proposes a self- Adaptive DE (SaDE) algorithm, in which both trial vector generation strategies and their associated control parameter values are gradually self-adapted by learning from their previous experiences in generating promising solutions.
3.6K
The Nonsubsampled Contourlet Transform: Theory, Design, and Applications
TL;DR: This paper proposes a design framework based on the mapping approach, that allows for a fast implementation based on a lifting or ladder structure, and only uses one-dimensional filtering in some cases.
A novel bit-level image encryption algorithm based on chaotic maps
TL;DR: A novel bit-level image encryption algorithm that is based on piecewise linear chaotic maps (PWLCM) that is both secure and reliable for image encryption.
560