Radix Trie improved Nahrain chaotic map-based image encryption model for effective image encryption process


Abas, Fazly Salleh and Arulmurugan, R. (2022) Radix Trie improved Nahrain chaotic map-based image encryption model for effective image encryption process. International Journal of Intelligent Networks, 3. pp. 102-108. ISSN 2666-6030

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of images include huge size and additional correlation prevailing among pixels, it is tedious to accomplish by using outdated models.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

Item Type: Article
Uncontrolled Keywords: Nahrain chaotic map, Radix trie, Key streams, Diffusion, Image encryption
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 07 Oct 2022 03:00
Last Modified: 07 Oct 2022 03:00
URII: http://shdl.mmu.edu.my/id/eprint/10511


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