Detection of malicious user accounts of an online service using feature analysis
US11621966B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 18, 2020 |
| Grant date | Apr 4, 2023 |
| Priority date | — |
| Expiry date | Apr 28, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/278
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for fraud detection. One of the methods includes partitioning a feature space into a plurality of sub feature spaces, wherein the feature space comprises features associated with user account events for an online service; generating one or more clusters of users for each of one or more sub feature spaces; comparing a feature profile of one or more of the clusters with a global feature profile to determine features of one or more the clusters that have concentrated key values that exceed a respective threshold value; for each of the one or more clusters, scoring the cluster including aggregating the degree to which the key values for features exceed the corresponding threshold values; and based on the scores of the one or more clusters, determining one or more fraud detection actions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.