.png){kind=icon}
.png){kind=icon}
Return
New color image encryption using hybrid optimization algorithm and Krawtchouk fractional transformations
.png){kind=icon}
PRE
AI
DOI：10.1007/s00371-022-02736-3.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This paper proposes a new method for encryption of RGB color images by combining two encryption approaches: the spatial approach and the transformation approach. The proposed method uses the 3D fractional modified Henon map (3D FrMHM) and the discrete fractional Krawtchouk moments (FrDKM). We have also proposed a new hybrid optimization algorithm (H-SSAOA) to optimize the parameters of the proposed Henon map and the parameters of the Krawtchouk fractional moments. This algorithm is based on the hybridization of two metaheuristic algorithms: the Salp Swarm Algorithm (SSA) and the Arithmetic Optimization Algorithm (AOA). The simulation results reveal the optimization efficiency of the proposed hybrid algorithm H-SSAOA compared to other meta-heuristic algorithms and the efficiency of the suggested encryption method for encrypting RGB color images in terms of sensitivity to the security key and resistance to different attacks.
Keywords:
RGB image encryption
Discrete fractional Krawtchouk moments
Metaheuristic algorithms
Optimization
Slap swarm algorithm
Arithmetic optimization algorithm
Modified 3D fractional Henon map
Journal
IF:
2.9
Papers:
4.6K
Citations:
6.5K