US 11,914,676 B2
Monitoring and correcting the obfuscation of vehicle related data
Stephan Max, Gifhorn (DE); and Christian Alexander Seidel, Bokensdorf (DE)
Assigned to Volkswagen Aktiengesellschaft, Wolfsburg (DE)
Appl. No. 17/428,207
Filed by Volkswagen Aktiengesellschaft, Wolfsburg (DE)
PCT Filed Jan. 30, 2020, PCT No. PCT/EP2020/052211
§ 371(c)(1), (2) Date Aug. 3, 2021,
PCT Pub. No. WO2020/160987, PCT Pub. Date Aug. 13, 2020.
Claims priority of application No. 10 2019 201 530.1 (DE), filed on Feb. 6, 2019.
Prior Publication US 2022/0120585 A1, Apr. 21, 2022
Int. Cl. H04W 12/02 (2009.01); G06F 18/23 (2023.01)
CPC G06F 18/23 (2023.01) [H04W 12/02 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for monitoring and correcting obfuscation of vehicle-related data transmitted to a backend computer with an anonymization filter, comprising:
removing personal data from the transmitted vehicle-related data;
combining the vehicle-related data, after removing the personal data, to obtain a vehicle-related data set without personal information;
temporally and spatially obfuscating the vehicle-related data set without personal data based on an estimated cluster size of data-collecting vehicles to generate an anonymous data set;
sending the anonymous data set, including a degree of obfuscation, to a data user;
determining an actual cluster size for a spatial region based on the anonymous data set;
comparing the determined actual cluster size with the estimated cluster size for the obfuscation of the anonymous data set; and
correcting the obfuscation of the spatial region, based on the results of the comparison of the actual cluster size with the estimated cluster size.