US 11,734,452 B2
Systems and methods for obscuring data from a data source
Joseph J. Regensburger, Grove City, OH (US); Andrew D. Burt, Washington, DC (US); Barry R. Hammen, Severn, MD (US); and Alfred V. Rossi, III, Hilliard, OH (US)
Assigned to IMMUTA, INC., College Park, MD (US)
Filed by IMMUTA, INC., College Park, MD (US)
Filed on Sep. 12, 2022, as Appl. No. 17/942,417.
Application 17/942,417 is a continuation of application No. 16/843,487, filed on Apr. 8, 2020, granted, now 11,443,065.
Claims priority of provisional application 62/831,129, filed on Apr. 8, 2019.
Prior Publication US 2023/0004678 A1, Jan. 5, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 21/62 (2013.01); G06F 17/18 (2006.01)
CPC G06F 21/6254 (2013.01) [G06F 17/18 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for measuring an impact of a data privacy policy, the method 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.