Detecting malicious user accounts of an online service using major-key-shared-based correlation
US11792197B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 18, 2020 |
| Grant date | Oct 17, 2023 |
| Priority date | — |
| Expiry date | Aug 27, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/20
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting fraudulent accounts. One of the methods includes obtaining raw data from network events associated with a collection of user accounts of an online service; processing the raw data including determining a feature set and applying the feature set to generate user groups each comprising one or more user account; evaluating each user group based on feature distributions including performing one or more Major-Key-Shared (MKS) correlation calculations on pairs of features from the feature set for the group; scoring each group based on the evaluation; and identifying groups having a score that exceeds a specified threshold as fraudulent.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.