New color image encryption using hybrid optimization algorithm and Krawtchouk fractional transformations

• Published in: The Visual computer Vol. 39; no. 12; pp. 6395 - 6420
• Main Authors: Tahiri, Mohamed Amine, Karmouni, Hicham, Bencherqui, Ahmed, Daoui, Achraf, Sayyouri, Mhamed, Qjidaa, Hassan, Hosny, Khalid M.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2023; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Color imagery; Computer Graphics; Computer Science; Data encryption; Fourier transforms; Heuristic methods; Hybridization; Image Processing and Computer Vision; Methods; Optimization; Optimization algorithms; Optimization techniques; Original Article; Parameters; Slap swarm algorithm; Arithmetic optimization algorithm; Modified 3D fractional Henon map; Discrete fractional Krawtchouk moments; Optimization; RGB image encryption; Metaheuristic algorithms
• ISSN: 0178-2789; 1432-2315
• DOI: 10.1007/s00371-022-02736-3

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.