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United States of America Patent
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Issued Date -
May 25, 2023
app pub date -
Nov 19, 2021
filing date -
Nov 19, 2021
priority date (Note) -
Published
status (Latency Note)
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Abstract
The present disclosure describes methods, apparatuses, and systems to protect wind turbines, wind farms, and power infrastructure. For instance, wind turbines produce several streams of data varying over time, including sensor readings from components in wind turbines, network traffic from SCADA systems, data from wind farm internal networks, data from the internet, etc. According to the techniques described herein, wind farms may be protected by identifying patterns that may not be apparent from individual time series or network data. Embodiments of the present disclosure include integration and fusion of information from various time series data sources and network data sources for detecting patterns in data (e.g., patterns in data that may indicate an abnormal event, such as wind farm component failure, a control system cyber-attack, etc.). For instance, in some cases, such patterns may be used to detect an abnormal event of interest (e.g., such as an attack).

First Claim
Family

- 15 United States
- 10 France
- 8 Japan
- 7 China
- 5 Korea
- 2 Other
Patent Owner(s)
Patent Owner | Address | |
---|---|---|
IRONNET CYBERSECURITY INC | 7900 TYSONS ONE PLACE SUITE 400 MCLEAN VA 22102 |
International Classification(s)
Inventor(s)
Inventor Name | Address | # of filed Patents | Total Citations |
---|---|---|---|
Grossman, Robert L | River Forest, US | 12 | 499 |
Heath, Jason P | Sugarloaf Key, US | 1 | 2 |
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