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An efficient chaotic system based hybrid radiation heat transfer sunflower optimization algorithm for securing digital image transmission

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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2022年第10期34卷

作者： Sekar, Jai Ganesh Ezhumalai, Periyathambi Chokkalingam, Arun Anna Univ RMKColl Engn & Technol Dept Elect & Commun Engn Chennai Tamil Nadu India Anna Univ RMD Engn Coll Dept Comp Sci & Engn Chennai Tamil Nadu India

At the pixel level, several chaos-based image encryption and decryption models have been developed throughout the years. However, due to long-haul, privacy, and security considerations, it has a number of drawbacks, including increased network complexity and low scalability, and actual text cracking avoidance is more challenging. In this study, we have proposed a novel approach for image encryption and decryption. The confusion and diffusion process is performed using fractional-order chaotic maps with the hybrid radiation heat transfer algorithm based sunflower optimization (HRHT-SO) algorithm. The proposed method works for both color and grayscale images. The HRHT-SO algorithm is the combination of both heat transfer search (HTS) and sunflower optimization (SO) algorithms. During the search process, the SO algorithm improves the radiation stage of the HTS model. Further, the DNA sequence improves the performance of image encryption and decryption using fractional-order chaotic maps with the HRHT-SO algorithm. The experimental investigations are carried out by using various parameters such as key sensitivity analysis, keyspace analysis, histogram analysis, correlation coefficient analysis, entropy analysis, PSNR, NPCR, and UACI analysis thereby analyzing the efficiency and complexity of the encryption scheme. Hence, the proposed method outperforms superior performances in all the experiments.

关键词： confusion and diffusion process DNA sequence hybrid radiation heat transfer algorithm based sunflower optimization algorithm image encryption and decryption

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