A color image encryption algorithm for expert detection system based on composite chaotic sequences
With the development of the Internet, the amount of information carried in images is gradually increasing, and image encryption algorithms for data transmission have been developed. The conventional composite chaotic sequence encryption algorithm has the problem of too long convergence speed when ap...
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| Format: | Article |
| Language: | English |
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Samara National Research University
2025-02-01
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| Series: | Компьютерная оптика |
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| Online Access: | https://computeroptics.ru/KO/Annot/KO49-1/490112.html |
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| author | Z. Li |
| author_facet | Z. Li |
| author_sort | Z. Li |
| collection | DOAJ |
| description | With the development of the Internet, the amount of information carried in images is gradually increasing, and image encryption algorithms for data transmission have been developed. The conventional composite chaotic sequence encryption algorithm has the problem of too long convergence speed when applied to images, which can lead to the risk of information leakage in the image. To address this issue, this study first applies chaotic attractors to improve composite chaotic sequences and enhance the search domain of their Leia Index. At the same time, the Arnold transform technology is introduced into the expert monitoring system, and the two systems are fused to generate a fusion algorithm for color image encryption. Finally, the study conducts experiments on the Differ dataset to verify the effectiveness and superiority of the fusion algorithm, and compares it with three algorithms such as artificial fish schools. The image encryption times of the four algorithms are 6 s, 16 s, 29 s, and 33 s respectively, indicating that the fusion algorithm has the highest encryption speed. When facing exhaustive attacks, the image information damage degrees of the four algorithms are 0.014, 0.051, 0.172, and 0.184, respectively. The experimental results show that the proposed algorithm can effectively resist differential attacks and exhaustive attacks, and is suitable for encrypting color images. |
| format | Article |
| id | doaj-art-3a7b1d026e7c4c62b2fb7c1767cb4095 |
| institution | Kabale University |
| issn | 0134-2452 2412-6179 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Samara National Research University |
| record_format | Article |
| series | Компьютерная оптика |
| spelling | doaj-art-3a7b1d026e7c4c62b2fb7c1767cb40952025-08-20T05:43:04ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792025-02-014919510210.18287/2412-6179-CO-1457A color image encryption algorithm for expert detection system based on composite chaotic sequencesZ. Li0School of Forensic Science and Technology, Criminal Investigation Police University of ChinaWith the development of the Internet, the amount of information carried in images is gradually increasing, and image encryption algorithms for data transmission have been developed. The conventional composite chaotic sequence encryption algorithm has the problem of too long convergence speed when applied to images, which can lead to the risk of information leakage in the image. To address this issue, this study first applies chaotic attractors to improve composite chaotic sequences and enhance the search domain of their Leia Index. At the same time, the Arnold transform technology is introduced into the expert monitoring system, and the two systems are fused to generate a fusion algorithm for color image encryption. Finally, the study conducts experiments on the Differ dataset to verify the effectiveness and superiority of the fusion algorithm, and compares it with three algorithms such as artificial fish schools. The image encryption times of the four algorithms are 6 s, 16 s, 29 s, and 33 s respectively, indicating that the fusion algorithm has the highest encryption speed. When facing exhaustive attacks, the image information damage degrees of the four algorithms are 0.014, 0.051, 0.172, and 0.184, respectively. The experimental results show that the proposed algorithm can effectively resist differential attacks and exhaustive attacks, and is suitable for encrypting color images.https://computeroptics.ru/KO/Annot/KO49-1/490112.htmlcomposite chaotic sequenceexpert detection systemcolor image encryptionchaotic attractorleia indexarnold transformation |
| spellingShingle | Z. Li A color image encryption algorithm for expert detection system based on composite chaotic sequences Компьютерная оптика composite chaotic sequence expert detection system color image encryption chaotic attractor leia index arnold transformation |
| title | A color image encryption algorithm for expert detection system based on composite chaotic sequences |
| title_full | A color image encryption algorithm for expert detection system based on composite chaotic sequences |
| title_fullStr | A color image encryption algorithm for expert detection system based on composite chaotic sequences |
| title_full_unstemmed | A color image encryption algorithm for expert detection system based on composite chaotic sequences |
| title_short | A color image encryption algorithm for expert detection system based on composite chaotic sequences |
| title_sort | color image encryption algorithm for expert detection system based on composite chaotic sequences |
| topic | composite chaotic sequence expert detection system color image encryption chaotic attractor leia index arnold transformation |
| url | https://computeroptics.ru/KO/Annot/KO49-1/490112.html |
| work_keys_str_mv | AT zli acolorimageencryptionalgorithmforexpertdetectionsystembasedoncompositechaoticsequences AT zli colorimageencryptionalgorithmforexpertdetectionsystembasedoncompositechaoticsequences |