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SYSTEM AND METHOD FOR SECURE OUTSOURCED ANNOTATION OF DATASETS
EP3461055
The present invention discloses a method and a system for outsourced annotation wherein the system comprises: a client component; and a server component wherein the client component comprises a client processor to classify contents of the dataset into token fields and zero or more fields associated to the token fields, and wherein encryption module is to reorganize the dataset and encrypt the dataset, the server component being to match the encrypted dataset token fields with token fields of a reference, to define for each record with a matching token field the information fields that are to be annotated and annotating by the annotation module the corresponding associated information fields.
The present invention refers to a method for secure annotation of sensitive datasets in outsourced environments. The main advantages are outlined below: <p> > Method for secure and privacy preserving outsourced annotations (and reannotations) of private databases in the encrypted domain from a reference encrypted database <p> > In order to fulfill the secure outsourced annotation (and reannotations) the method uses a symmetric deterministic encryption. <p> > The method enables the following operations in only one step: <p> - Allows to search encrypted inputs in encrypted databases (searchable encryption). <p> - Allows updates (annotations and reannotations) of encrypted inputs in databases. <p> - Allows to retrieve encrypted inputs from a encrypted data base (private information retrieval).<p> > The whole pipeline overhead is below a factor of 5×, and therefore always in the same order of magnitude as the clear-text unprotected pipeline.<p>