Skip to Main Content Area
CPS-VO
Contact Support
Browse
Calendar
Announcements
Repositories
Groups
Search
Search for Content
Search for a Group
Search for People
Search for a Project
Tagcloud
› Go to login screen
Not a member?
Click here to register!
Forgot username or password?
Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
robust estimation
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
file
Data-Driven Modeling and Preview-Based Control for Cyber-Physical System Safety
Submitted by necozay on Fri, 01/10/2020 - 4:38pm. Contributors:
Necmiye Ozay
Dimitra Panagou
Samet Oymak
Sze Zheng Yong
Correct-by-construction control
Safety
learning
multi-agent systems
robust estimation
Posters
1931982
1932066
1932254
CPS PI Meeting 2019
2019
NSF
U.S. Government
Poster
