Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
This study investigated the application of Fully Homomorphic Encryption (FHE) for securing genomic data in cloud computing environments, addressing the critical need for privacy in healthcare. FHE allows computations on encrypted data without decryption, ensuring end-to-end encryption during data transit, rest, and analysis. Main focus is on securely sharing raw genotyping data with untrusted third-party services. A prototype was developed using a design research methodology to assess FHE’s feasibility and performance in real-world scenarios. The results indicate that the prototype maintains privacy without compromising computational efficiency, accurately handling encrypted datasets to provide correct genotype reports. The study highlights FHE’s role in enhancing data security in healthcare and suggests further directions for research towards secure genomic data processing.
Recommended Citation
Moriggl, Pascal; Massaro, Gabriel; and Asprion, Petra, "Securing Genomic Data Using Fully Homomorphic Encryption: A Feasibility Study" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 4.
https://aisel.aisnet.org/hicss-58/hc/security_and_privacy/4
Securing Genomic Data Using Fully Homomorphic Encryption: A Feasibility Study
Hilton Waikoloa Village, Hawaii
This study investigated the application of Fully Homomorphic Encryption (FHE) for securing genomic data in cloud computing environments, addressing the critical need for privacy in healthcare. FHE allows computations on encrypted data without decryption, ensuring end-to-end encryption during data transit, rest, and analysis. Main focus is on securely sharing raw genotyping data with untrusted third-party services. A prototype was developed using a design research methodology to assess FHE’s feasibility and performance in real-world scenarios. The results indicate that the prototype maintains privacy without compromising computational efficiency, accurately handling encrypted datasets to provide correct genotype reports. The study highlights FHE’s role in enhancing data security in healthcare and suggests further directions for research towards secure genomic data processing.
https://aisel.aisnet.org/hicss-58/hc/security_and_privacy/4