Competitive Swarm Optimization with Encryption Based Steganography for Digital Image Security

作     者：Ala’A.Eshmawi Suliman A.Alsuhibany Sayed Abdel-Khalek Romany F.Mansour 

作者机构：Department of CybersecurityCollege of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia Department of Computer ScienceCollege of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of MathematicsCollege of ScienceTaif UniversityTaif21944Saudi Arabia Department of MathematicsFaculty of ScienceNew Valley UniversityEl-Kharga72511Egypt 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2022年第72卷第8期

页      面：4173-4184页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Taif University Researchers Supporting Project Number(TURSP-2020/154) Taif University Taif Saudi Arabia 

主　　题：Image security optimal pixel selection encryption metaheuristics image steganography 

摘      要：Digital image security is a fundamental and tedious process on shared communication *** methods have been employed for accomplishing security on digital image transmission,such as encryption,steganography,and *** stenography and encryption are commonly used models to achieve improved ***,optimal pixel selection process(OPSP)acts as a vital role in the encryption *** this motivation,this study designs a new competitive swarmoptimization with encryption based stenographic technique for digital image security,named CSOES-DIS *** proposed CSOES-DIS model aims to encrypt the secret image prior to the embedding *** addition,the CSOES-DIS model applies a double chaotic digital image encryption(DCDIE)technique to encrypt the secret image,and then embedding method was ***,the OPSP can be carried out by the design of CSO algorithm and thereby increases the secrecy *** 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.