Data-driven model construction for industrial asset decision boundary classification
In some embodiments, a system model construction platform may receive, from a system node data store, system node data associated with an industrial asset. The system model construction platform may automatically construct a data-driven, dynamic system model for the industrial asset based on the received system node data. A synthetic attack platform may then inject at least one synthetic attack into the data-driven, dynamic system model to create, for each of a plurality of monitoring nodes, a series of synthetic attack monitoring node values over time that represent simulated attacked operation of the industrial asset. The synthetic attack platform may store, in a synthetic attack space data source, the series of synthetic attack monitoring node values over time that represent simulated attacked operation of the industrial asset. This information may then be used, for example, along with normal operational data to construct a threat detection model for the industrial asset.
- Research Organization:
- General Electric Co., Schenectady, NY (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- OE0000833
- Assignee:
- General Electric Company (Schenectady, NY)
- Patent Number(s):
- 10,671,060
- Application Number:
- 15/681,974
- OSTI ID:
- 1650970
- Resource Relation:
- Patent File Date: 08/21/2017
- Country of Publication:
- United States
- Language:
- English
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