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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 6, 2024.
Abstract: With the wide application of computer images and the popularization of network transmission, the public demand for image encryption technology is becoming more and more urgent. Privacy and data security can be effectively guaranteed through image encryption, but the existing encryption technology still has problems such as high overhead and poor encryption performance. Therefore, in order to improve the processing efficiency of encryption technology, the study constructs a two-dimensional composite chaotic system based on the analysis of existing chaotic sequence algorithms. Additionally, a novel approach to picture encryption is put forth by merging the composite chaotic system following the algorithmic optimization of disruption and diffusion in the image encryption phase. The chaotic mapping performed best, according to the experimental results, when the chaotic system's parameters were between 10 and 75. At this time, the algorithm had the highest encryption speed of 632 Mbit/s and decryption speed of 583 Mbit/s, the lowest resource consumption rate of 21.4% and the lowest delay rate of 11.5%. It can be seen that the method proposed in the study shows significant advantages in terms of security and effectiveness of image encryption, and is capable of realizing high-quality encryption of computer images. The novel image encryption technique that the research proposed has a high degree of security and feasibility and can achieve high-quality encryption of computer images.
Li Shen, “Computer Image Encryption Technology Based on Chaotic Sequence Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 15(6), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150624
@article{Shen2024,
title = {Computer Image Encryption Technology Based on Chaotic Sequence Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150624},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150624},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {6},
author = {Li Shen}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.