Radix Trie improved Nahrain chaotic map-based image encryption model for effective image encryption process
As the intrinsic features of images include huge size and additional correlation prevailing among pixels, it is tedious to accomplish by using outdated models. The cryptographic features of Chaotic Maps (CM), including early criteria and random nature, aid in designing novel Image Encryption (IE) me...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2022-01-01
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Series: | International Journal of Intelligent Networks |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666603022000100 |
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author | Fazly Salleh Abas R Arulmurugan |
author_facet | Fazly Salleh Abas R Arulmurugan |
author_sort | Fazly Salleh Abas |
collection | DOAJ |
description | As the intrinsic features of images include huge size and additional correlation prevailing among pixels, it is tedious to accomplish by using outdated models. The cryptographic features of Chaotic Maps (CM), including early criteria and random nature, aid in designing novel Image Encryption (IE) methods. In this paper, Nahrain Map with Radix Trie-based Image Encryption (NMRTIE) model is proposed to guarantee image encryption that resists known attacks that could be launched during its transmission in the cloud environment. The propounded NMRTIE model includes three essential phases: NCM-based Image Encryption (IE), Radix Trie (RT) based scrambling, and incessant diffusion. Initially, the NCM model uses more than one chaotic function to produce a sequence of keys. The RT model eases scrambling, where the rows and columns' pixels are swapped substantially. Lastly, the propounded diffusion scheme cooperates with NCM to produce key streams for remarkably hastening diffusion and dispersing effect. The propounded NMRTIE model is evaluated, and the results are confirmed based on numerous characteristics. The investigational consequence confirms that the propounded NMRTIE scheme is more appropriate than the associated approaches. |
first_indexed | 2024-04-11T15:46:40Z |
format | Article |
id | doaj.art-2c3d23f7e106463bb76aa62f79fe7345 |
institution | Directory Open Access Journal |
issn | 2666-6030 |
language | English |
last_indexed | 2024-04-11T15:46:40Z |
publishDate | 2022-01-01 |
publisher | KeAi Communications Co., Ltd. |
record_format | Article |
series | International Journal of Intelligent Networks |
spelling | doaj.art-2c3d23f7e106463bb76aa62f79fe73452022-12-22T04:15:31ZengKeAi Communications Co., Ltd.International Journal of Intelligent Networks2666-60302022-01-013102108Radix Trie improved Nahrain chaotic map-based image encryption model for effective image encryption processFazly Salleh Abas0R Arulmurugan1Faculty of Engineering and Technology, Multimedia University, Bukit beruang, Melaka, Malaysia; Corresponding author.Department of Computer Science and Engineering, CMR University, Bangalore, IndiaAs the intrinsic features of images include huge size and additional correlation prevailing among pixels, it is tedious to accomplish by using outdated models. The cryptographic features of Chaotic Maps (CM), including early criteria and random nature, aid in designing novel Image Encryption (IE) methods. In this paper, Nahrain Map with Radix Trie-based Image Encryption (NMRTIE) model is proposed to guarantee image encryption that resists known attacks that could be launched during its transmission in the cloud environment. The propounded NMRTIE model includes three essential phases: NCM-based Image Encryption (IE), Radix Trie (RT) based scrambling, and incessant diffusion. Initially, the NCM model uses more than one chaotic function to produce a sequence of keys. The RT model eases scrambling, where the rows and columns' pixels are swapped substantially. Lastly, the propounded diffusion scheme cooperates with NCM to produce key streams for remarkably hastening diffusion and dispersing effect. The propounded NMRTIE model is evaluated, and the results are confirmed based on numerous characteristics. The investigational consequence confirms that the propounded NMRTIE scheme is more appropriate than the associated approaches.http://www.sciencedirect.com/science/article/pii/S2666603022000100Nahrain chaotic mapRadix trieKey streamsDiffusionImage encryptionScrambling |
spellingShingle | Fazly Salleh Abas R Arulmurugan Radix Trie improved Nahrain chaotic map-based image encryption model for effective image encryption process International Journal of Intelligent Networks Nahrain chaotic map Radix trie Key streams Diffusion Image encryption Scrambling |
title | Radix Trie improved Nahrain chaotic map-based image encryption model for effective image encryption process |
title_full | Radix Trie improved Nahrain chaotic map-based image encryption model for effective image encryption process |
title_fullStr | Radix Trie improved Nahrain chaotic map-based image encryption model for effective image encryption process |
title_full_unstemmed | Radix Trie improved Nahrain chaotic map-based image encryption model for effective image encryption process |
title_short | Radix Trie improved Nahrain chaotic map-based image encryption model for effective image encryption process |
title_sort | radix trie improved nahrain chaotic map based image encryption model for effective image encryption process |
topic | Nahrain chaotic map Radix trie Key streams Diffusion Image encryption Scrambling |
url | http://www.sciencedirect.com/science/article/pii/S2666603022000100 |
work_keys_str_mv | AT fazlysallehabas radixtrieimprovednahrainchaoticmapbasedimageencryptionmodelforeffectiveimageencryptionprocess AT rarulmurugan radixtrieimprovednahrainchaoticmapbasedimageencryptionmodelforeffectiveimageencryptionprocess |