6533b7dcfe1ef96bd12721f5

RESEARCH PRODUCT

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

Gouenou CoatrieuxManiane FassaGilles TrouessinFrançois-andré AllaertCatherine Quantin

subject

Scheme (programming language)Computer sciencemedia_common.quotation_subjectHash functionHealth Informaticscomputer.software_genreEncryption01 natural sciencesField (computer science)Patient identificationPublic-key cryptography010104 statistics & probability03 medical and health sciences0302 clinical medicineHealth Information ManagementOriginality030212 general & internal medicine0101 mathematicscomputer.programming_languagemedia_commonAdvanced and Specialized Nursingbusiness.industryData CollectionEpidemiologic StudiesIdentity (object-oriented programming)Data miningbusinesscomputerAlgorithmsConfidentiality

description

Summary 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.

10.3414/me0546https://pubmed.ncbi.nlm.nih.gov/18852920