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Title: Intrusion Detection & Response using an Unsupervised Artificial Neural Network on a Single Board Computer for Building Control Resilience.

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:
1512000
Report Number(s):
SAND2018-4760C
662843
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Resilience Week held August 20-23, 2018 in Denver, CO.
Country of Publication:
United States
Language:
English

Citation Formats

Jones, Christian Birk, Carter, Cedric, and Thomas, Zachary Brian. Intrusion Detection & Response using an Unsupervised Artificial Neural Network on a Single Board Computer for Building Control Resilience.. United States: N. p., 2018. Web. doi:10.1109/RWEEK.2018.8473533.
Jones, Christian Birk, Carter, Cedric, & Thomas, Zachary Brian. Intrusion Detection & Response using an Unsupervised Artificial Neural Network on a Single Board Computer for Building Control Resilience.. United States. doi:10.1109/RWEEK.2018.8473533.
Jones, Christian Birk, Carter, Cedric, and Thomas, Zachary Brian. Tue . "Intrusion Detection & Response using an Unsupervised Artificial Neural Network on a Single Board Computer for Building Control Resilience.". United States. doi:10.1109/RWEEK.2018.8473533. https://www.osti.gov/servlets/purl/1512000.
@article{osti_1512000,
title = {Intrusion Detection & Response using an Unsupervised Artificial Neural Network on a Single Board Computer for Building Control Resilience.},
author = {Jones, Christian Birk and Carter, Cedric and Thomas, Zachary Brian},
abstractNote = {Abstract not provided.},
doi = {10.1109/RWEEK.2018.8473533},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {5}
}

Conference:
Other availability
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