Combining hashing and enciphering algorithms for epidemiological analysis of gathered data
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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
Published on: December 7, 2021
C Quantin1, M Fassa, G Coatrieux
11INSERM U 866, Université de Bourgogne, Dijon, France. catherine.quantin@chu-dijon.fr
Objectives:
Compiling individual records coming from different sources is necessary for multi-center studies. Legal aspects can be satisfied by implementing anonymization procedures. When using these procedures with a different key for each study it becomes almost impossible to link records from separate data collections.
Methods:
The originality of the method relies on the way the combination of hashing and enciphering techniques is performed: like in asymmetric encryption, two keys are used but the private key depends on the patient's identity.
Results:
The combination of hashing and enciphering techniques provides a great improvement in the overall security of the proposed scheme.
Conclusion:
This methodology makes stored data available for use in the field of public health, while respecting legal security requirements.
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