Predicting data tampering using augmented machine learning models
US12225038B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 29, 2020 |
| Grant date | Feb 11, 2025 |
| Priority date | — |
| Expiry date | Aug 30, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Certain aspects involve using a set of machine learning modeling models for predicting attempts to tamper with records using a fraudulent dispute. A tampering prediction system receives a request from a target entity to modify event data for a historical event, including information about the target entity and the event. The system generates a first score by applying a first set of machine learning models to the information from the request and information about the target entity obtained from a database. They system computes a second score by applying a second machine learning model to event data retrieved from the database. The second machine learning model has been trained using labeled training data and is augmented with a model that has been trained using unlabeled training data. The system generates an overall score for the request based on the first score and the second score.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.