Abstract: A computer system contains a module configured to receive a query, to request rows and columns from a data store, to add or remove rows in such a way that combinations of queries cannot be used to infer information about individuals in the data store. The module executes a statistical computation over the adjusted rows and columns to produce a perturbed answer so that neither the perturbed answer alone, nor repeats of the perturbed answer can be used to infer information about individuals in the data store.
Type:
Grant
Filed:
December 1, 2016
Date of Patent:
December 7, 2021
Assignees:
AIRCLOAK GMBH, MAX PLANCK GESELLSCHAFT ZUR FÖRDERUNG DER WISSENSCHAFTEN E.V.
Inventors:
Sebastian Probst Eide, Paul Francis, Cristian Daniel Berneanu, Sa{hacek over (s)}a Jurić, PaweŁ Obrok
Abstract: An anonymizing method for a database system is provided. The method includes receiving a query, identifying one or more attack components in the query, computing one or more noise elements from the one or more attack components, and computing fixed noise or fixed thresholds from the one or more noise elements.
Type:
Grant
Filed:
October 13, 2017
Date of Patent:
December 7, 2021
Assignees:
AIRCLOAK GMBH, MAX PLANCK GESELLSCHAFT ZUR FÖRDERUNG DER WISSENSCHAFTEN E.V.
Inventors:
Sebastian Probst Eide, Paul Francis, Cristian Daniel Berneanu, Sasa Juric, Pawel Obrok
Abstract: An anonymizing method for a database system is provided. The method includes receiving a query, identifying one or more attack components in the query, computing one or more noise elements from the one or more attack components, and computing fixed noise or fixed thresholds from the one or more noise elements.
Type:
Application
Filed:
October 13, 2017
Publication date:
February 22, 2018
Applicants:
AIRCLOAK GMBH, MAX PLANCK GESELLSCHAFT ZUR FÖRDERUNG DER WISSENSCHAFTEN E.V.
Inventors:
SEBASTIAN PROBST EIDE, PAUL FRANCIS, CRISTIAN DANIEL BERNEANU, SASA JURIC, PAWEL OBROK
Abstract: A computer system contains a module configured to receive a query, to request rows and columns from a data store, to add or remove rows in such a way that combinations of queries cannot be used to infer information about individuals in the data store. The module executes a statistical computation over the adjusted rows and columns to produce a perturbed answer so that neither the perturbed answer alone, nor repeats of the perturbed answer can be used to infer information about individuals in the data store.
Type:
Application
Filed:
December 1, 2016
Publication date:
November 16, 2017
Applicants:
AIRCLOAK GMBH, MAX PLANCK GESELLSCHAFT ZUR FÖRDERUNG DER WISSENSCHAFTEN E.V.
Inventors:
SEBASTIAN PROBST EIDE, PAUL FRANCIS, CRISTIAN DANIEL BERNEANU, SASA JURIC, PAWEL OBROK