Implementation of Hill Cipher algorithm and Arnold Cat Map (ACM) algorithm on Iris digital image security

Khudzaifah, Muhammad ORCID: https://orcid.org/0000-0001-8500-1843 and Hakim, Muhammad Luqman (2024) Implementation of Hill Cipher algorithm and Arnold Cat Map (ACM) algorithm on Iris digital image security. Presented at The International Symposium on Biomathematics (Symomath) 2022.

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Abstract

The advancement of technology, particularly in smartphones, has prompted the need for the development of an authentication process. Among the various options available is the utilization of iris recognition in the authentication process, which can enhance security since the structure of the iris is unique and distinct from one individual to another. For authentication to be secure, data encryption and decryption processes are necessary. This research uses a combination of two algorithms, namely the Hill Cipher algorithm and Arnold Cat Map (ACM) algorithm. The purpose of this study was to obtain the results of accuracy and time efficiency used in the encryption and decryption process. In this study, the encryption process was carried out using the Hill Cipher algorithm and then followed by encryption using the Arnold Cat Map (ACM) algorithm. In the decryption process, it was obtained using the Arnold Cat Map (ACM) algorithm, then continued with the decryption using the Hill Cipher algorithm. The results of digital image encryption obtained from the application of the Hill Cipher and Arnold Cat Map algorithms have succeeded in producing a digital image that is more random and almost unrecognizable when compared to applications that only use the Hill Cipher algorithm or the Arnold Cat Map algorithm

Item Type:	Conference (Paper)
Keywords:	Decryption; Digital Image; Encryption; Eye’s Iris; Hill Cipher Algorithm; Arnold Cat Map Algorithm
Subjects:	08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing 08 INFORMATION AND COMPUTING SCIENCES > 0802 Computation Theory and Mathematics > 080204 Mathematical Software
Divisions:	Faculty of Mathematics and Sciences > Department of Mathematics
Depositing User:	Muhammad Khudzaifah
Date Deposited:	14 Oct 2024 14:54

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