Image Encryption Algorithm Based on New Fractional Beta Chaotic Maps

作     者：Rabha W.Ibrahim Hayder Natiq Ahmed Alkhayyat Alaa Kadhim Farhan Nadia M.G.Al-Saidi Dumitru Baleanu 

作者机构：Institute of Electrical and Electronics EngineersKuala Lumpur59200Malaysia Information Technology CollegeImam Ja’afar Al-Sadiq UniversityBaghdad10001Iraq Department of Computer Technical EngineeringCollege of Technical EngineeringIslamic UniversityNajaf192122Iraq Department of Computer SciencesUniversity of TechnologyBaghdad10066Iraq Department of Applied SciencesUniversity of TechnologyBaghdad10066Iraq Department of MathematicsCankaya UniversityBalgatAnkara06530Turkey Institute of Space SciencesMagurele-BucharestR76900Romania Department of Medical ResearchChina Medical UniversityTaichung40402Taiwan 

出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)

年 卷 期：2022年第132卷第7期

页      面：119-131页

核心收录：

学科分类：0839[工学-网络空间安全] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：The authors would like to thank the editor office for the deep advice to improve our work. The authors received no specific funding for this study 

主　　题：Fractional calculus fractional beta function chaotic function image encryption 

摘      要：In this study,a new algorithm of fractional beta chaotic maps is proposed to generate chaotic sequences for image *** proposed technique generates multi random sequences by shuffling the image pixel *** technique is used to blur the pixels connecting the input and encrypted images and to increase the attack *** proposed algorithm makes the encryption process sophisticated by using fractional chaotic maps,which hold the properties of *** fractional beta sequences are utilized to alter the image pixels to decryption *** experimental results proved that the proposed image encryption algorithm successfully encrypted and decrypted the images with the same *** output findings indicate that our proposed algorithm has good entropy and low correlation *** translates to enhanced security against different attacks.A MATLAB programming tool was used to implement and assess the image quality measures.A comparison with other image encryption techniques regarding the visual inspection and signal-to-noise ratio is provided.