Citation

Chandrasekaran, Yuvarani and Angusamy, Ajitha and Suppiah, Yasothei (2025) Matrix - Based Encryption: A Python-Driven Approach to Data protection. In: 2025 Multimedia University Engineering Conference, MECON 2025, 21 July 2025 - 23 July 2025, Cyberjaya, Malaysia.

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Abstract

In everyday life, it is crucial to protect our data and communication. The necessity for secure message communication is not a novel concept. It has existed for a long time. Data security relies heavily on encryption methods. The advancement of message encryption technology has accelerated due to the utilization of networks and the online world. Cryptographic methods are deemed essential in instances of data theft or hacking involving private and sensitive messages. For secret communication, ciphers can be transformed into graphs. Graph theory is essential to a number of disciplines. Graph theory, in particular, is extensively utilized for encryption purposes because of its numerous properties and the fact that it can be easily represented as a matrix in computer systems. This paper presents the use of a self-invertible key matrix along with an adjacency matrix from a cycle graph for encrypting and decrypting messages, thereby creating a complex cipher. It is possible to decode the cipher without calculating the inverse of the key matrix, as it is a self-invertible matrix. Python is also utilized to create a schematic representation of the code for the provided input message, as well as to encrypt and decrypt it.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Encryption; Graph Theory; Self-invertible Key Matrix; Adjacency Matrix; Cycle Graph; Python Implementation
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28-70 Management. Industrial Management > HD30.2 Electronic data processing. Information technology. Including artificial intelligence and knowledge management
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	19 Mar 2026 02:10
Last Modified:	19 Mar 2026 02:10
URII:	http://shdl.mmu.edu.my/id/eprint/15609

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