Flexible Machine Learning-Based Cyberattack Detection Using Spatiotemporal Patterns for Distribution Systems.
This letter develops a flexible machine learning detection method for cyberattacks in distribution systems considering spatiotemporal patterns. Spatiotemporal patterns are recognized by the graph Laplacian based on system-wide measurements. A flexible Bayes classifier (BC) is used to train spatiotem...
Saved in:
| Online Access: |
Full Text (via OSTI) |
|---|---|
| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Argonne, Ill. : Oak Ridge, Tenn. :
Argonne National Laboratory ; Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy,
2020.
|
| Subjects: |
MARC
| LEADER | 00000nam a22000003u 4500 | ||
|---|---|---|---|
| 001 | b11928382 | ||
| 003 | CoU | ||
| 005 | 20210823000000.0 | ||
| 006 | m o d f | ||
| 007 | cr ||||||||||| | ||
| 008 | 210825e20200301||| o| f0|||||eng|d | ||
| 035 | |a (TOE)ost1812898 | ||
| 035 | |a (TOE)1812898 | ||
| 040 | |a TOE |c TOE | ||
| 049 | |a GDWR | ||
| 245 | 0 | 0 | |a Flexible Machine Learning-Based Cyberattack Detection Using Spatiotemporal Patterns for Distribution Systems. |
| 260 | |a Argonne, Ill. : |b Argonne National Laboratory ; |a Oak Ridge, Tenn. : |b Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, |c 2020. | ||
| 300 | |a Size: p. 1805-1808 : |b digital, PDF file. | ||
| 336 | |a text |b txt |2 rdacontent. | ||
| 337 | |a computer |b c |2 rdamedia. | ||
| 338 | |a online resource |b cr |2 rdacarrier. | ||
| 500 | |a Published through Scitech Connect. | ||
| 500 | |a 03/01/2020. | ||
| 500 | |a "Journal ID: ISSN 1949-3053." | ||
| 500 | |a "Other: 160861." | ||
| 500 | |a Cui, Mingjian ; Wang, Jianhui ; Chen, Bo ; | ||
| 500 | |a USDOE Office of Cybersecurity, Energy Security, and Emergency Response (CESER) | ||
| 520 | 3 | |a This letter develops a flexible machine learning detection method for cyberattacks in distribution systems considering spatiotemporal patterns. Spatiotemporal patterns are recognized by the graph Laplacian based on system-wide measurements. A flexible Bayes classifier (BC) is used to train spatiotemporal patterns which could be violated when cyberattacks occur. Cyberattacks are detected by using flexible BCs online. The effectiveness of the developed method is demonstrated through standard IEEE 13- and 123-node test feeders. | |
| 536 | |b AC02-06CH11357. | ||
| 650 | 7 | |a Cyberattack detection |2 local. | |
| 650 | 7 | |a Distribution systems |2 local. | |
| 650 | 7 | |a Graph laplacian |2 local. | |
| 650 | 7 | |a Machine learning |2 local. | |
| 650 | 7 | |a Spatiotemporal patterns |2 local. | |
| 710 | 2 | |a Argonne National Laboratory. |4 res. | |
| 710 | 1 | |a United States. |b Department of Energy. |b Office of Scientific and Technical Information |4 dst. | |
| 856 | 4 | 0 | |u https://www.osti.gov/servlets/purl/1812898 |z Full Text (via OSTI) |
| 907 | |a .b119283827 |b 08-27-21 |c 08-27-21 | ||
| 998 | |a web |b 08-27-21 |c f |d m |e p |f eng |g |h 0 |i 1 | ||
| 956 | |a Information bridge | ||
| 999 | f | f | |i b06ee421-2482-5ed7-a17f-31ba2e17b184 |s fbfe051d-736b-5cc9-aabe-ce628febb355 |
| 952 | f | f | |p Can circulate |a University of Colorado Boulder |b Online |c Online |d Online |i web |n 1 |