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Title: Cyber physical attack detection

Abstract

A cyber-security threat detection system and method stores physical data measurements from a cyber-physical system and extracts synchronized measurement vectors synchronized to one or more timing pulses. The system and method synthesize data integrity attacks in response to the physical data measurements and applies alternating parameterized linear and non-linear operations in response to the synthesized data integrity attacks. The synthesis renders optimized model parameters used to detect multiple cyber-attacks.

Inventors:
;
Issue Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1805539
Patent Number(s):
10929529
Application Number:
16/774,305
Assignee:
UT-Battelle, LLC (Oak Ridge, TN)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
H - ELECTRICITY H04 - ELECTRIC COMMUNICATION TECHNIQUE H04L - TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Patent
Resource Relation:
Patent File Date: 01/28/2020
Country of Publication:
United States
Language:
English

Citation Formats

Ferragut, Erik M., and Laska, Jason A. Cyber physical attack detection. United States: N. p., 2021. Web.
Ferragut, Erik M., & Laska, Jason A. Cyber physical attack detection. United States.
Ferragut, Erik M., and Laska, Jason A. Tue . "Cyber physical attack detection". United States. https://www.osti.gov/servlets/purl/1805539.
@article{osti_1805539,
title = {Cyber physical attack detection},
author = {Ferragut, Erik M. and Laska, Jason A.},
abstractNote = {A cyber-security threat detection system and method stores physical data measurements from a cyber-physical system and extracts synchronized measurement vectors synchronized to one or more timing pulses. The system and method synthesize data integrity attacks in response to the physical data measurements and applies alternating parameterized linear and non-linear operations in response to the synthesized data integrity attacks. The synthesis renders optimized model parameters used to detect multiple cyber-attacks.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2021},
month = {2}
}

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Auto-Encoder Enhanced Self-Diagnostic Components for Model Monitoring
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