Using data science to aid in detection of unauthorized distribution
US10462167B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 3, 2017 |
| Grant date | Oct 29, 2019 |
| Priority date | — |
| Expiry date | Mar 13, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/2111
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a method performed by a system that includes at least one processor, the method comprising: obtaining subscriber data of a plurality of subscribers, wherein said subscriber data comprises at least one of: consumption data relating to subscribed content consumption by said plurality of subscribers, or network data relating to data transmittal via one or more computer networks by the plurality of subscribers; detecting anomalous data by comparing subscriber data of different subscribers in the plurality of subscribers; identifying one or more suspected subscribers out of the plurality of subscribers as being suspected of unauthorized subscribed content distribution, the one of more suspected subscribers being associated with the anomalous data; and providing a respective identity for the one or more suspected subscribers.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.