Color Image Cryptosystem Based on Sine Chaotic Map, 4D Chen Hyperchaotic Map of Fractional-Order and Hybrid DNA Coding
With advancements in computer and communication technologies, the production, utilization and applications of digital images is at an unprecedented rate. Recent applications include military communications, remote sensing, novel engineering designs storage and communications, as well as medical imag...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10141614/ |
| _version_ | 1797808489460924416 |
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| author | Wassim Alexan Mohamed Gabr Eyad Mamdouh Rimon Elias Amr Aboshousha |
| author_facet | Wassim Alexan Mohamed Gabr Eyad Mamdouh Rimon Elias Amr Aboshousha |
| author_sort | Wassim Alexan |
| collection | DOAJ |
| description | With advancements in computer and communication technologies, the production, utilization and applications of digital images is at an unprecedented rate. Recent applications include military communications, remote sensing, novel engineering designs storage and communications, as well as medical imaging. In most cases, such images convey highly sensitive or confidential information, which creates a strong need for the design of secure and robust color image cryptosystems. Recent literature has shown that fractional-order functions exhibit improved performance over their corresponding integer-order versions. This is especially true in their use in image processing applications. In this research work, we make use of a four-dimensional (4D) hyperchaotic Chen map of fractional-order, in conjunction with a sine chaotic map and a novel hybrid DNA coding algorithm. A thorough numerical analysis is presented, showcasing the security performance and efficiency of the proposed color image cryptosystem. Performance is gauged in terms of resilience against visual, histogram, statistical, entropy, differential, as well as brute-force attacks. Mean values of the metrics computed are as follows. MSE of 9396, PSNR of 8.27 dB, information entropy of 7.997, adjacent pixel correlation coefficient of 0, NPCR of 99.62%, UACI of 33, MAE of 80.57, and a very large key space of 2<sup>744</sup>. The proposed image cryptosystem exhibits low computational complexity, as it encrypts images at a rate of 4.369 Mbps. Furthermore, it passes the NIST SP 800 suite of tests successfully. Comparison of the computed metrics of the proposed image cryptosystem against those reported in the state-of-the-art by counterpart algorithms show that the proposed cryptosystem exhibits comparable or superior values. |
| first_indexed | 2024-03-13T06:38:17Z |
| format | Article |
| id | doaj.art-98a715c03b34407d835fac5b24b95fc3 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-13T06:38:17Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-98a715c03b34407d835fac5b24b95fc32023-06-08T23:01:19ZengIEEEIEEE Access2169-35362023-01-0111549285495610.1109/ACCESS.2023.328216010141614Color Image Cryptosystem Based on Sine Chaotic Map, 4D Chen Hyperchaotic Map of Fractional-Order and Hybrid DNA CodingWassim Alexan0https://orcid.org/0000-0001-6159-4971Mohamed Gabr1https://orcid.org/0000-0003-3690-9585Eyad Mamdouh2https://orcid.org/0000-0003-4228-5174Rimon Elias3Amr Aboshousha4Communications Department, Faculty of Information Engineering and Technology, German University in Cairo (GUC), New Cairo, EgyptComputer Science Department, Faculty of Media Engineering and Technology, German University in Cairo (GUC), New Cairo, EgyptPhysics Department, Faculty of Basic Sciences, German University in Cairo (GUC), New Cairo, EgyptDigital Media Department, Faculty of Media Engineering and Technology, German University in Cairo (GUC), New Cairo, EgyptPhysics Department, Faculty of Basic Sciences, German University in Cairo (GUC), New Cairo, EgyptWith advancements in computer and communication technologies, the production, utilization and applications of digital images is at an unprecedented rate. Recent applications include military communications, remote sensing, novel engineering designs storage and communications, as well as medical imaging. In most cases, such images convey highly sensitive or confidential information, which creates a strong need for the design of secure and robust color image cryptosystems. Recent literature has shown that fractional-order functions exhibit improved performance over their corresponding integer-order versions. This is especially true in their use in image processing applications. In this research work, we make use of a four-dimensional (4D) hyperchaotic Chen map of fractional-order, in conjunction with a sine chaotic map and a novel hybrid DNA coding algorithm. A thorough numerical analysis is presented, showcasing the security performance and efficiency of the proposed color image cryptosystem. Performance is gauged in terms of resilience against visual, histogram, statistical, entropy, differential, as well as brute-force attacks. Mean values of the metrics computed are as follows. MSE of 9396, PSNR of 8.27 dB, information entropy of 7.997, adjacent pixel correlation coefficient of 0, NPCR of 99.62%, UACI of 33, MAE of 80.57, and a very large key space of 2<sup>744</sup>. The proposed image cryptosystem exhibits low computational complexity, as it encrypts images at a rate of 4.369 Mbps. Furthermore, it passes the NIST SP 800 suite of tests successfully. Comparison of the computed metrics of the proposed image cryptosystem against those reported in the state-of-the-art by counterpart algorithms show that the proposed cryptosystem exhibits comparable or superior values.https://ieeexplore.ieee.org/document/10141614/Chaos theorychen hyperchaotic mapDNA codingfractional-orderimage cryptosystemimage encryption |
| spellingShingle | Wassim Alexan Mohamed Gabr Eyad Mamdouh Rimon Elias Amr Aboshousha Color Image Cryptosystem Based on Sine Chaotic Map, 4D Chen Hyperchaotic Map of Fractional-Order and Hybrid DNA Coding IEEE Access Chaos theory chen hyperchaotic map DNA coding fractional-order image cryptosystem image encryption |
| title | Color Image Cryptosystem Based on Sine Chaotic Map, 4D Chen Hyperchaotic Map of Fractional-Order and Hybrid DNA Coding |
| title_full | Color Image Cryptosystem Based on Sine Chaotic Map, 4D Chen Hyperchaotic Map of Fractional-Order and Hybrid DNA Coding |
| title_fullStr | Color Image Cryptosystem Based on Sine Chaotic Map, 4D Chen Hyperchaotic Map of Fractional-Order and Hybrid DNA Coding |
| title_full_unstemmed | Color Image Cryptosystem Based on Sine Chaotic Map, 4D Chen Hyperchaotic Map of Fractional-Order and Hybrid DNA Coding |
| title_short | Color Image Cryptosystem Based on Sine Chaotic Map, 4D Chen Hyperchaotic Map of Fractional-Order and Hybrid DNA Coding |
| title_sort | color image cryptosystem based on sine chaotic map 4d chen hyperchaotic map of fractional order and hybrid dna coding |
| topic | Chaos theory chen hyperchaotic map DNA coding fractional-order image cryptosystem image encryption |
| url | https://ieeexplore.ieee.org/document/10141614/ |
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