Literature DB >> 18852920

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

C Quantin1, M Fassa, G Coatrieux, G Trouessin, F A Allaert.   

Abstract

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.

Entities:  

Mesh:

Year:  2008        PMID: 18852920     DOI: 10.3414/me0546

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  2 in total

1.  Using global unique identifiers to link autism collections.

Authors:  Stephen B Johnson; Glen Whitney; Matthew McAuliffe; Hailong Wang; Evan McCreedy; Leon Rozenblit; Clark C Evans
Journal:  J Am Med Inform Assoc       Date:  2010 Nov-Dec       Impact factor: 4.497

2.  Securizing data linkage in french public statistics.

Authors:  Maxence Guesdon; Eric Benzenine; Kamel Gadouche; Catherine Quantin
Journal:  BMC Med Inform Decis Mak       Date:  2016-10-06       Impact factor: 2.796

  2 in total

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