Private detection of relatives in forensic genomics using homomorphic encryption
Abstract Background Forensic analysis heavily relies on DNA analysis techniques, notably autosomal Single Nucleotide Polymorphisms (SNPs), to expedite the identification of unknown suspects through genomic database searches. However, the uniqueness of an individual’s genome sequence designates it as...
        Saved in:
      
    
          | Main Authors: | Fillipe D. M. de Souza, Hubert de Lassus, Ro Cammarota | 
|---|---|
| Format: | Article | 
| Language: | English | 
| Published: | BMC
    
        2024-11-01 | 
| Series: | BMC Medical Genomics | 
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12920-024-02037-9 | 
| Tags: | Add Tag 
      No Tags, Be the first to tag this record!
   | 
Similar Items
- 
                
                    Recent advances of privacy-preserving machine learning based on (Fully) Homomorphic Encryption        
                          
 by: Hong Cheng
 Published: (2025-01-01)
- 
                
                    An improved Fully Homomorphic Encryption model based on N-Primes        
                          
 by: Mohammed Anwar Mohammed, et al.
 Published: (2019-10-01)
- 
                
                    Privacy protection scheme for internet of vehicles based on homomorphic encryption and block chain technology        
                          
 by: Ruijin WANG, et al.
 Published: (2020-02-01)
- 
                
                    Efficient secure federated learning aggregation framework based on homomorphic encryption        
                          
 by: Shengxing YU, et al.
 Published: (2023-01-01)
- 
                
                    Research on algorithms of data encryption scheme that supports homomorphic arithmetical operations        
                          
 by: ANGPan Y, et al.
 Published: (2015-01-01)
 
       