Chaotic encryption scheme for colour Image using 3D lorenz chaotic map and 3D chen system

Irene Lim Jin Ying and Arif Mandangan (2024) Chaotic encryption scheme for colour Image using 3D lorenz chaotic map and 3D chen system. International Journal of Advanced Research in Computational Thinking and Data Science, 1. pp. 1-15.

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Abstract

Chaos-based image encryption system is an encryption method that uses chaotic systems in encrypting digital images for the purpose of enhancing security. Chaos theory exhibits some distinctive characteristics, which include butterfly-like patterns, unpredictable behavior, and sensitive dependence to initial conditions. . In the past few decades, image encryption based on a single chaotic map has been a common technique in encrypting images. However, there are still unauthorized interceptors who illegally access and obtain the private information of the image. With that being the case, an encryption method that applies more than one chaotic system will contribute to creating a more complex relationship between the original and encrypted images, making it challenging for unauthorized individuals to decipher or extract the original content of the image without the appropriate decryption key. In this study, two chaotic maps, 3D Lorenz Map and 3D Chen system, are applied to generate random cryptographic keys for encrypting color images using permutation and diffusion mechanisms. The proposed algorithm that employs two chaotic maps is proven to be an effective system that achieves excellent results in security.

Item Type:	Article
Keyword:	Chaos; Image encryption; permutation; diffusion; security
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics > QA273-280 Probabilities. Mathematical statistics T Technology > TA Engineering (General). Civil engineering (General) > TA1-2040 Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Department:	FACULTY > Faculty of Science and Natural Resources
Depositing User:	ABDULLAH BIN SABUDIN -
Date Deposited:	23 Dec 2024 10:59
Last Modified:	23 Dec 2024 10:59
URI:	https://eprints.ums.edu.my/id/eprint/42351

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