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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
data-driven defense system
biblio
Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep Learning
Submitted by aekwall on Mon, 01/20/2020 - 11:12am
power-grid controller anomaly detection
control engineering computing
LSTM
actuators
data-driven defense system
enhanced temporal deep learning
Hardware Performance Counter
Kolmogorov–Smirnov test
power-grid controller
Human Factors
power-grid system
programmable logic controller
security-critical cyber-physical systems
temporal deep learning detection
temporal deep learning model
time 360.0 ms
zero trust
Scalability
deep learning
sensors
process control
power grids
power system security
power engineering computing
Zero-day attacks
Substations
policy-based governance
pubcrawl
Resiliency
learning (artificial intelligence)
invasive software
malware
Hardware
