Private detection of relatives in forensic genomics using homomorphic encryption

Results demonstrate that HE-based solutions can be computationally practical to protect genomic privacy during screening of candidate matches for further genealogy analysis in Forensic Genetic Genealogy (FGG).

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Publication Details

Journal
BMC Medical Genomics
Published
2024-11-19
DOI
https://doi.org/10.1186/s12920-024-02037-9
Citations
3
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
1.04
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article

Private detection of relatives in forensic genomics using homomorphic encryption

Fillipe D. M. de Souza, Hubert de Lassus, Ro Cammarota
3 citations
BMC Medical Genomics
Cryptography and Data Security
1.04
article

Private detection of relatives in forensic genomics using homomorphic encryption

Fillipe D. M. de Souza, Hubert de Lassus, Ro Cammarota
article en
3 citations

Abstract

Results demonstrate that HE-based solutions can be computationally practical to protect genomic privacy during screening of candidate matches for further genealogy analysis in Forensic Genetic Genealogy (FGG).

BMC Medical GenomicsVol. 17(1)
Intel (United States) (US)
Gender equality
Openalex Percentile: Top 18%
Cryptography and Data Security
1.04
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Private detection of relatives in forensic genomics using homomorphic encryption — Fillipe D. M. de Souza, Hubert de Lassus, et al. · BMC Medical Genomics (2024) | TGRS Research Map | TGRS