Evolving Decision Trees to Detect Anomalies in Recurrent ICS Networks.
Abstract
Abstract not provided.
- Authors:
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1334584
- Report Number(s):
- SAND2015-8850C
614545
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Conference
- Resource Relation:
- Conference: Proposed for presentation at the World Congress on Industrial Control Systems Security held December 14-16, 2015 in London, United Kingdom.
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Hosic, Jasenko, Lamps, Jereme, and Hart, Derek H. Evolving Decision Trees to Detect Anomalies in Recurrent ICS Networks.. United States: N. p., 2015.
Web. doi:10.1109/WCICSS.2015.7420323.
Hosic, Jasenko, Lamps, Jereme, & Hart, Derek H. Evolving Decision Trees to Detect Anomalies in Recurrent ICS Networks.. United States. doi:10.1109/WCICSS.2015.7420323.
Hosic, Jasenko, Lamps, Jereme, and Hart, Derek H. Thu .
"Evolving Decision Trees to Detect Anomalies in Recurrent ICS Networks.". United States. doi:10.1109/WCICSS.2015.7420323. https://www.osti.gov/servlets/purl/1334584.
@article{osti_1334584,
title = {Evolving Decision Trees to Detect Anomalies in Recurrent ICS Networks.},
author = {Hosic, Jasenko and Lamps, Jereme and Hart, Derek H.},
abstractNote = {Abstract not provided.},
doi = {10.1109/WCICSS.2015.7420323},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {10}
}
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