Confidence fabric enhanced privacy-preserving data aggregation
AssigneeDell Products L.P.
InventorsStephen J. Todd, Pankaj Pande
Life of this patent
Estimating the term…
Abstract
Enhancing privacy-preserving data aggregation with a data confidence fabric or confidence scores. Data points ingested into a data confidence fabric are associated with a confidence score. The confidence score is generated as trust insertion technologies are applied to the data points. The confidence score reflects a trustworthiness of the data and reflects how the data points are trusted. When aggregating the data points into aggregated data, the data points are aggregated in a manner that accounts for their confidence scores. This lessens the impact of data points that have comparatively low confidence scores in the aggregated data.
Claims20
A method comprising:
- ingesting data points into a data confidence fabric implemented in a computing system;
- applying one or more trust insertion technologies to the data points as the data points move through the data confidence fabric;
- generating a confidence score for each data point ingested into the data confidence fabric based at least in part on the one or more trust insertion technologies applied to the data points, wherein the confidence scores of the data points provide an application with a view into a trustworthiness of the data points;
- aggregating the data points into aggregated data based on the confidence scores and trust insertion technologies applied to the data points, wherein the data points contribute to the aggregated data based on their corresponding confidence scores, and wherein aggregating the data points comprises anonymizing the data points;
- and
- generating aggregated results that includes the aggregated data.
A non-transitory storage medium having stored therein instructions that are executable by one or more hardware processors to perform operations comprising:
- ingesting data points into a data confidence fabric implemented in a computing system;
- applying one or more trust insertion technologies to the data points as the data points move through the data confidence fabric;
- generating a confidence score for each data point ingested into the data confidence fabric based at least in part on the one or more trust insertion technologies applied to the data points, wherein the confidence scores of the data points provide an application with a view into a trustworthiness of the data points;
- aggregating the data points into aggregated data based on the confidence scores and trust insertion technologies applied to the data points, wherein the data points contribute to the aggregated data based on their corresponding confidence scores, and wherein aggregating the data points comprises anonymizing the data points;
- and
- generating aggregated results that includes the aggregated data.
Dependencies are inferred from the claim text.