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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
data-driven temporal causal relationships
biblio
Detection of False Data Injection Attacks in Cyber-Physical Systems using Dynamic Invariants
Submitted by aekwall on Mon, 08/03/2020 - 10:29am
Power system dynamics
Kalman filters
learning (artificial intelligence)
Meters
Metrics
National security
power engineering computing
Power measurement
power system
Kalman filter
power system security
pubcrawl
Resiliency
robust estimation
Scalability
security of data
state estimation
traditional anomaly detection approaches
data-driven temporal causal relationships
adaptive filtering
adaptive robust thresholding
Anomaly Detection
bad data detection
Bayesian filtering
complex cyber-physical systems
cyber-physical systems
data-driven functional relationships
False Data Detection
dynamic invariant network
false data injection attack detection
false data injection attacks
G-KART
Granger causality based Kalman filter
graph theory
invariant graph
Jacobian matrices
