Systems and methods for combining graph embedding and random forest classification for improving classification of distributed ledger activities
US11853278B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 29, 2022 |
| Grant date | Dec 26, 2023 |
| Priority date | — |
| Expiry date | Mar 29, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for combining an embedding of a graph having a plurality of nodes and edge connections and classifications of distributed ledger-based activities may include: receiving information for historical distributed ledger-based activities comprising identifications of the plurality of nodes in the graph as involved in illicit activities, licit activities, or unknown; applying sampling to sample labels and associated features; training a first classifier based on the plurality of historical distributed ledger-based activities, the node information, and the sample labels; receiving a current distributed ledger-based activity from the distributed ledger network; predicting a classification for the current distributed ledger-based activity using the first classifier; extracting features from the current distributed ledger-based activity; enriching the extracted features based on one or more neighbors of the nodes involved in the current distributed ledger-based activity; reclassifying the current distributed ledger-based activity using a second classifier; and outputting an alert based on the prediction.
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