A resilient image encryption scheme using Laplace transform
The importance of image encryption in cryptography has surged due to advancement in image processing technology. Our research presents a novel image encryption technique using advanced image processing and permutation-based S-box generation. Utilizing a sine series expansion, we achieve a pseudorand...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-09-01
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| Series: | Egyptian Informatics Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110866524000756 |
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| author | Fariha Nawaz Saba Inam Shamsa Kanwal Shaha Al-Otaibi Fahima Hajjej |
| author_facet | Fariha Nawaz Saba Inam Shamsa Kanwal Shaha Al-Otaibi Fahima Hajjej |
| author_sort | Fariha Nawaz |
| collection | DOAJ |
| description | The importance of image encryption in cryptography has surged due to advancement in image processing technology. Our research presents a novel image encryption technique using advanced image processing and permutation-based S-box generation. Utilizing a sine series expansion, we achieve a pseudorandom distribution of values applicable across various fields. Our systematic method for computing the Laplace transform of symbolic metrices ensures enhanced security. This study integrates core cryptographic principles: permutation, substitution, randomness, symbolic operations, and cyclic encryption. The proposed cryptosystem’s modular nature allows adaptability and customization for specific cryptographic needs, enhancing overall security. Our efforts to improve key generation, introduce randomness, and increase operational complexity drive advancements in secure cryptographic systems. Comprehensive analysis, including key sensitivity, key space, Information Entropy(IE), histogram correlation, Number of Pixel Change Rate (NPCR), Peak Signal Noise Ratio(PSNR), Unified Average Changing Intensity (UACI), and similarity assessments like Mean Square Error (MSE) and Structural Similarity Index Measure (SSIM),Validate the efficiency of our encryption scheme. Our results surpass previous efforts, setting a new standard in cryptographic research excellence. |
| format | Article |
| id | doaj-art-9bbf31c0452942ba8efa1327b10ede33 |
| institution | OA Journals |
| issn | 1110-8665 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Egyptian Informatics Journal |
| spelling | doaj-art-9bbf31c0452942ba8efa1327b10ede332025-08-20T01:54:44ZengElsevierEgyptian Informatics Journal1110-86652024-09-012710051210.1016/j.eij.2024.100512A resilient image encryption scheme using Laplace transformFariha Nawaz0Saba Inam1Shamsa Kanwal2Shaha Al-Otaibi3Fahima Hajjej4Department of Mathematical Sciences, Fatima Jinnah Women University, The Mall, Rawalpindi, PakistanDepartment of Mathematical Sciences, Fatima Jinnah Women University, The Mall, Rawalpindi, PakistanDepartment of Mathematical Sciences, Fatima Jinnah Women University, The Mall, Rawalpindi, PakistanDepartment of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O.Box 84428, Riyadh 11671, Saudi Arabia; Corresponding author.Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O.Box 84428, Riyadh 11671, Saudi ArabiaThe importance of image encryption in cryptography has surged due to advancement in image processing technology. Our research presents a novel image encryption technique using advanced image processing and permutation-based S-box generation. Utilizing a sine series expansion, we achieve a pseudorandom distribution of values applicable across various fields. Our systematic method for computing the Laplace transform of symbolic metrices ensures enhanced security. This study integrates core cryptographic principles: permutation, substitution, randomness, symbolic operations, and cyclic encryption. The proposed cryptosystem’s modular nature allows adaptability and customization for specific cryptographic needs, enhancing overall security. Our efforts to improve key generation, introduce randomness, and increase operational complexity drive advancements in secure cryptographic systems. Comprehensive analysis, including key sensitivity, key space, Information Entropy(IE), histogram correlation, Number of Pixel Change Rate (NPCR), Peak Signal Noise Ratio(PSNR), Unified Average Changing Intensity (UACI), and similarity assessments like Mean Square Error (MSE) and Structural Similarity Index Measure (SSIM),Validate the efficiency of our encryption scheme. Our results surpass previous efforts, setting a new standard in cryptographic research excellence.http://www.sciencedirect.com/science/article/pii/S1110866524000756Information Entropy (IE)Chaotic MapMean Square Error (MSE)Structural Similarity Index Measure (SSIM)Laplace Transform |
| spellingShingle | Fariha Nawaz Saba Inam Shamsa Kanwal Shaha Al-Otaibi Fahima Hajjej A resilient image encryption scheme using Laplace transform Egyptian Informatics Journal Information Entropy (IE) Chaotic Map Mean Square Error (MSE) Structural Similarity Index Measure (SSIM) Laplace Transform |
| title | A resilient image encryption scheme using Laplace transform |
| title_full | A resilient image encryption scheme using Laplace transform |
| title_fullStr | A resilient image encryption scheme using Laplace transform |
| title_full_unstemmed | A resilient image encryption scheme using Laplace transform |
| title_short | A resilient image encryption scheme using Laplace transform |
| title_sort | resilient image encryption scheme using laplace transform |
| topic | Information Entropy (IE) Chaotic Map Mean Square Error (MSE) Structural Similarity Index Measure (SSIM) Laplace Transform |
| url | http://www.sciencedirect.com/science/article/pii/S1110866524000756 |
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