Anomaly detection and automated analysis using weighted directed graphs
US10394631B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 18, 2017 |
| Grant date | Aug 27, 2019 |
| Priority date | — |
| Expiry date | Feb 9, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/0888
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes receiving a data set. The data set includes a plurality of data subsets wherein each data subset is associated with one transaction in a fully or partially masked network. The method further includes processing each data subset according to a plurality of rules to generate a plurality of activation values and an output for the each data subset. The plurality of activation values and the output for the each data subset form an activation pattern for the each data subset. The method also includes generating a predictive model based on the activation patterns. The method further includes identifying a subset of transactions as outliers based on the predictive model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.