Securing Genomic Data Using Fully Homomorphic Encryption: A Feasibility Study

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dc.contributor.authorMoriggl, Pascal
dc.contributor.authorMassaro, Gabriel
dc.contributor.authorAsprion, Petra
dc.date.accessioned2024-12-26T21:07:23Z
dc.date.available2024-12-26T21:07:23Z
dc.date.issued2025-01-07
dc.description.abstractThis 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.
dc.format.extent8
dc.identifier.doi10.24251/HICSS.2025.434
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.other6d333d92-b6d3-4302-aabd-ced5b681fdf6
dc.identifier.urihttps://hdl.handle.net/10125/109278
dc.relation.ispartofProceedings of the 58th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSecurity and Privacy Challenges for Healthcare
dc.subjectcloud computing, fully homomorphic encryption, genomic data security, genomics, snp
dc.titleSecuring Genomic Data Using Fully Homomorphic Encryption: A Feasibility Study
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage3620

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