Open Access

ARTICLE

Competitive Swarm Optimization with Encryption Based Steganography for Digital Image Security

Ala’ A. Eshmawi¹, Suliman A. Alsuhibany², Sayed Abdel-Khalek³, Romany F. Mansour^4,*

1 Department of Cybersecurity, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia
2 Department of Computer Science, College of Computer, Qassim University, Buraydah, 51452, Saudi Arabia
3 Department of Mathematics, College of Science, Taif University, Taif, 21944, Saudi Arabia
4 Department of Mathematics, Faculty of Science, New Valley University, El-Kharga, 72511, Egypt

* Corresponding Author: Romany F. Mansour. Email:

Computers, Materials & Continua 2022, 72(2), 4173-4184. https://doi.org/10.32604/cmc.2022.028008

Received 30 January 2022; Accepted 02 March 2022; Issue published 29 March 2022

Abstract

Digital image security is a fundamental and tedious process on shared communication channels. Several methods have been employed for accomplishing security on digital image transmission, such as encryption, steganography, and watermarking. Image stenography and encryption are commonly used models to achieve improved security. Besides, optimal pixel selection process (OPSP) acts as a vital role in the encryption process. With this motivation, this study designs a new competitive swarm optimization with encryption based stenographic technique for digital image security, named CSOES-DIS technique. The proposed CSOES-DIS model aims to encrypt the secret image prior to the embedding process. In addition, the CSOES-DIS model applies a double chaotic digital image encryption (DCDIE) technique to encrypt the secret image, and then embedding method was implemented. Also, the OPSP can be carried out by the design of CSO algorithm and thereby increases the secrecy level. In order to portray the enhanced outcomes of the CSOES-DIS model, a comparative examination with recent methods is performed and the results reported the betterment of the CSOES-DIS model based on different measures.

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Keywords

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