Combining hashing and enciphering algorithms for epidemiological analysis of gathered data.
OBJECTIVE
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.


CONCLUSIONS
This methodology makes stored data available for use in the field of public health, while respecting legal security requirements.
1INSERM U 866, Université de Bourgogne, Dijon, France. catherine.quantin@chu-dijon.fr
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Quantin
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Fassa
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Coatrieux
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Trouessin
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Allaert
D000465:Algorithms; D003219:Confidentiality / Q000331:legislation & jurisprudence*; D003625:Data Collection / Q000706:statistics & numerical data*; D016021:Epidemiologic Studies