Anomaly detection using cognitive computing
US10616253B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 13, 2017 |
| Grant date | Apr 7, 2020 |
| Priority date | — |
| Expiry date | Jun 27, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An anomaly detection system configured to generate a plurality of tensors based on spatial attributes of a set of cybersecurity data and temporal attributes of the set of cybersecurity data. The set of cybersecurity data comprising numeric data and textual data collected from a plurality of computational sources. The anomaly detection system can provide the plurality of tensors to a Hierarchical Temporal Memory (HTM) network. The HTM network can be configured to generate respective HTM outputs for respective regions of the HTM network. The anomaly detection system can determine that at least one HTM output indicates an anomaly, convert the at least one HTM output to a notification, and provide the notification to a user interface.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.