Patent ID: 11921886
Assignee: PRIVACY4CARS, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A vehicle data security method, comprising the steps of:
generating, using artificial intelligence algorithms and a training dataset, at least one machine learning model that is configured to generate scores for multiple attributes of one or more personal data handling approaches associated with a vehicle and/or an in-vehicle unit of the vehicle that handles personal data of a user,
wherein the training dataset comprises a plurality of labelled documents that define the one or more personal data handling approaches associated with the vehicles and/or the in-vehicle unit, and wherein each labelled document has scores pre-assigned to one or more of the multiple attributes of the respective personal data handling approach associated therewith;

receiving vehicle identification information;
determining one or more personal data handling approaches associated with a target vehicle linked to the vehicle identification information and at least one in-vehicle unit of the target vehicle that handles personal data of the user;
semantically analyzing the one or more personal data handling approaches associated with the target vehicle and the at least one in-vehicle unit of the target vehicle;
generating, using the at least one machine learning model and the one or more personal data handling approaches that have been semantically analyzed, scores for the multiple attributes of each of the one or more personal data handling approaches;
processing the scores to generate a privacy score for the target vehicle; and
dynamically adjusting the privacy score for the target vehicle based on privacy change factors.