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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
FDI attacks
biblio
Attacks Detection and Security Control Against False Data Injection Attacks Based on Interval Type-2 Fuzzy System
Submitted by grigby1 on Fri, 05/19/2023 - 2:13pm
Oscillators
Robust Fuzzy Extended States Observer
IT2 Fuzzy System
FDI attacks
Industrial electronics
nonlinear systems
Cyber Physical System
CPS modeling
Observers
security
simulation
Linear systems
composability
Data models
Resiliency
resilience
Metrics
pubcrawl
biblio
False Data Detection Based On LSTM Network In Smart Grid
Submitted by grigby1 on Tue, 03/22/2022 - 1:53pm
standards
FDI attacks
detection
LSTM
software engineering
smart grid security
Metrics
Smart Grids
Computers
Monitoring
Smart Grid
Computational modeling
Scalability
Resiliency
resilience
pubcrawl
Neural networks
biblio
Detection of False Data Injection Attack in Smart Grid Using Decomposed Nearest Neighbor Techniques
Submitted by grigby1 on Mon, 08/02/2021 - 3:42pm
Classification algorithms
Convex functions
Decomposed Nearest Neighbor algorithm
FDI attacks
machine learning
machine learning algorithms
Measurement
Metrics
metrics testing
Phasor measurement units
pubcrawl
Smart Grid
Smart Grids
Voltage measurement
biblio
Dynamic Detection of False Data Injection Attack in Smart Grid using Deep Learning
Submitted by aekwall on Mon, 02/10/2020 - 12:05pm
modern advances
bad data detection mechanisms
basic measurements
data measurements
deep learning algorithm
deep learning based framework
false data injection attack
FDI attacks
IEEE 39-bus system
injected data measurement
long short term memory network
communication technology
modern cyber threats
network level features
redundant measurements
smart grid applications
specific assumptions
system states
system variables
time-series anomaly detector
traditional state estimation bad data detection
Smart Grid Sensors
power system security
Detectors
learning (artificial intelligence)
Resiliency
pubcrawl
convolutional neural nets
convolutional neural network
smart power grids
power engineering computing
Smart Grids
power system
security of data
Power system dynamics
Recurrent neural networks
deep learning
Human Factors
electricity grid
power system measurement
power system state estimation
Compositionality
dynamic detection
power meters
biblio
A set-theoretic approach for secure and resilient control of Cyber-Physical Systems subject to false data injection attacks
Submitted by grigby1 on Thu, 12/28/2017 - 1:34pm
Human behavior
telecommunication channels
set-theoretic control framework
set theory
Science of Security
Scalability
resilient control
Resiliency
pubcrawl
Policy-Governed Secure Collaboration
Metrics
internet
Human Factors
actuators
FDI attacks
encryption algorithms
Detectors
cyber-physical systems
cyber false data injection attacks
Cryptography
control remediation strategy
composability
Communication channels
collaboration
anomaly detector module
