System and method for detecting platform anomalies through neural networks
US9679243B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 13, 2014 |
| Grant date | Jun 13, 2017 |
| Priority date | — |
| Expiry date | Jul 16, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for detecting behavior of a computing platform that includes obtaining platform data; for each data motif identifiers in a set data motif identifiers, performing data motif detection on data in an associated timescale, wherein a first data motif identifier operates on data in a first timescale, wherein a second data motif identifier operates on data in a second timescale, wherein the first timescale and second timescale are different; in a neural network model, synthesizing platform data anomaly detection with at least a set of features inputs from data motif detection of the set of motif identifiers; and signaling if a platform data anomaly is detected through the neural network model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.