Advancing medical image security: a hybrid DNA-AES based cryptosystem
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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| বিন্যাস: | গবেষণাপত্র |
| ভাষা: | English |
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Brac University
2024
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| অনলাইন ব্যবহার করুন: | http://hdl.handle.net/10361/22854 |
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10361-228542024-05-16T21:00:27Z Advancing medical image security: a hybrid DNA-AES based cryptosystem Khan, Chisthia Ayesha, Tasfia Fahomida, Maiesha Alam, Samiha Jubaida Hossain, Nushraq Nawer Hossain, Muhammad Iqbal Ahmed, Md. Faisal Department of Computer Science and Engineering, Brac University Medical data security Encryption Decryption DNA cryptography XOR operation Data encryption (Computer science) Artificial intelligence--Medical applications This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. Cataloged from PDF version of thesis. Includes bibliographical references (pages 33-35). 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. Chisthia Khan Tasfia Ayesha Maiesha Fahomida Samiha Jubaida Alam Nushraq Nawer Hossain B.Sc in Computer Science 2024-05-16T09:51:54Z 2024-05-16T09:51:54Z ©2024 2024-01 Thesis ID: 23341027 ID: 20101478 ID: 20101515 ID: 20301458 ID: 20101242 http://hdl.handle.net/10361/22854 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 45 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Medical data security Encryption Decryption DNA cryptography XOR operation Data encryption (Computer science) Artificial intelligence--Medical applications |
| spellingShingle |
Medical data security Encryption Decryption DNA cryptography XOR operation Data encryption (Computer science) Artificial intelligence--Medical applications Khan, Chisthia Ayesha, Tasfia Fahomida, Maiesha Alam, Samiha Jubaida Hossain, Nushraq Nawer Advancing medical image security: a hybrid DNA-AES based cryptosystem |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. |
| author2 |
Hossain, Muhammad Iqbal |
| author_facet |
Hossain, Muhammad Iqbal Khan, Chisthia Ayesha, Tasfia Fahomida, Maiesha Alam, Samiha Jubaida Hossain, Nushraq Nawer |
| format |
Thesis |
| author |
Khan, Chisthia Ayesha, Tasfia Fahomida, Maiesha Alam, Samiha Jubaida Hossain, Nushraq Nawer |
| author_sort |
Khan, Chisthia |
| title |
Advancing medical image security: a hybrid DNA-AES based cryptosystem |
| title_short |
Advancing medical image security: a hybrid DNA-AES based cryptosystem |
| title_full |
Advancing medical image security: a hybrid DNA-AES based cryptosystem |
| title_fullStr |
Advancing medical image security: a hybrid DNA-AES based cryptosystem |
| title_full_unstemmed |
Advancing medical image security: a hybrid DNA-AES based cryptosystem |
| title_sort |
advancing medical image security: a hybrid dna-aes based cryptosystem |
| publisher |
Brac University |
| publishDate |
2024 |
| url |
http://hdl.handle.net/10361/22854 |
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