US 11,443,065 B2 · Systems and methods for obscuring data from a data source

Abstract

Systems and methods for obscuring data from a data source include devices and processes that may objectively measure the information loss for a dataset that is caused by applying a privacy policy, and may select and apply a policy to the dataset based on the measured information loss. The systems and methods may measure the information loss for a large dataset by taking a representative sample from the dataset and applying the policy to the sample in order to quantify the information loss. The quantified information loss can be iteratively used to change the policy in order to meet utility and/or privacy goals, and the system can subsequently apply the changed policy to the dataset.

Claims3

Dependent claims

A system for measuring an impact of a data privacy policy on a dataset, the system comprising:

a computer-readable data storage device containing program instructions;
and
a processor, operably connected to the computer-readable data storage device, that executes the program instructions to perform operations comprising:
sampling a data source to obtain a sample of data that is statistically representative;
determining ridge statistics for the sample of data;
measuring a first entropy of the sample of data;
applying the data privacy policy to the sample of data;
measuring a second entropy of the sample of data with the policy applied;
calculating an information loss value based on the difference between the first entropy and the second entropy;
and
presenting the information loss value.

8 more elements

Dependencies are inferred from the claim text.

Systems and methods for obscuring data from a data source

Life of this patent

Systems and methods for obscuring data from a data source

Life of this patent

Abstract

Claims3