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of images include huge size and additional correlation prevailing among pixels, it is tedious to accomplish by using outdated models.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...

Full description

Bibliographic Details
Main Authors: Fazly Salleh Abas, R Arulmurugan
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-01-01
Series:International Journal of Intelligent Networks
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666603022000100
_version_ 1798016175363325952
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of images include huge size and additional correlation prevailing among pixels, it is tedious to accomplish by using outdated models.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