Human Genome Analysis and Encryption: A Cloud Prototype Model Using AWS and AES

Authors

Priyanka KunteFollow
Rachana Shanbhogue, Sahyadri College of Engineering and ManagementFollow
Sanjana S. Nayak, Sahyadri College of Engineering and ManagementFollow
Neelima Bayyapu, Manipal Institute of TechnologyFollow
Manjunath K N, Manipal Institute of TechnologyFollow
Neha S. Gandhi, Manipal Institute of TechnologyFollow

Abstract

SecureDNA presents a robust solution for safeguarding genetic data in cloud storage through the implementation of AES-256-CBC encryption. This innovative system, designed with a user-friendly interface, guides users seamlessly through DNA data upload processes, ensuring confidentiality and integrity. Utilizing AWS services such as RDS, VPC, and EC2, SecureDNA establishes a secure infrastructure for data storage and user interaction. By encrypting DNA records before storage and leveraging cloud computing benefits, this system not only protects sensitive genetic information but also offers scalability and accessibility. SecureDNA stands as a pivotal advancement in ensuring the privacy and reliability of genetic data in the digital age, with implications for healthcare, genetic research, and forensic sciences. This comprehensive approach addresses the pressing need for secure handling of genetic information, providing a crucial framework for future data protection standards. Through SecureDNA, users can confidently engage with cloud-based genetic data, knowing that their information is shielded from unauthorized access, contributing to advancements in personalized medicine and genetic research worldwide.

Recommended Citation

Kunte, Priyanka; Shanbhogue, Rachana; Nayak, Sanjana S.; Bayyapu, Neelima; K N, Manjunath; and Gandhi, Neha S. (2023) "Human Genome Analysis and Encryption: A Cloud Prototype Model Using AWS and AES," Manipal Journal of Science and Technology: Vol. 8: Iss. 2, Article 5.
Available at: https://impressions.manipal.edu/mjst/vol8/iss2/5