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Advancing medical image security: a hybrid DNA-AES based cryptosystem

Citation

Abstract

In today’s technological age, it is simple to obtain someone’s personal information via data transmission, especially for those who don’t use sufficient data security throughout the process. Data breaches are now a significant security concern since private information is constantly transmitted through the internet around the world. Healthcare organizations experience data breaches and attacks more frequently than businesses in other sectors. Therefore, medical information needs to be transferred securely during the transmission of medical data to protect patients’ sensitive details. Cryptography defines a secure transmission and communication process that results from mathematical ideas and rule-based calculation algorithms. This is how cryptography provides an efficient way for transmitting data in a secure manner that can protect it from third parties for medical data transmission. In the field of cryptography, DNA cryptography is a more secure technique because it uses the biological structure of DNA. It is a technique for hiding data that converts the alphabet into various combinations using the four bases of human deoxyribonucleic acid. Although there are many operations in DNA cryptography, the XOR operation is more versatile. DNA XOR techniques have configurations that are responsive and distinctive, in contrast to the current binary representation of 0s and 1s. The suggested encryption and decryption techniques for protecting information and storage in the sequences of DNA are particularly safe since the sequences of genes are used as the key parameters for the DNA XOR procedure. Additionally, to further strengthen security and resolve possible drawbacks of the conventional DNA-based method, the AES-256-GCM algorithm has been integrated. Comprehensive performance testing is conducted to assess the hybrid DNA-AES approach’s reliability and efficiency. This research proposes a novel approach for securing medical data transmission using the DNA-AES cryptosystem.

Description

Cataloged from PDF version of thesis.
Includes bibliographical references (pages 33-35).
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

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Thesis