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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
electricity grid
biblio
A Survey of Attack Models for Cyber-Physical Security Assessment in Electricity Grid
Submitted by aekwall on Tue, 09/08/2020 - 10:00am
electricity grid
Chained Attacks
data injection attack scenario
attack models
PLADD
Cyber-physical security assessment
bad data injection
attack propagation
attack graph
markov chain
cyber-physical system
Power Grid
security of data
Markov processes
power system security
power engineering computing
password
power grids
pubcrawl
Resiliency
cyber-physical systems
Data models
Scalability
IP networks
biblio
A Hybrid Attack Model for Cyber-Physical Security Assessment in Electricity Grid
Submitted by aekwall on Tue, 09/08/2020 - 9:59am
execution stage
Planning
markov chain
attack graph
attack propagation
bad data injection
bad data injection attack
Cyber-physical security assessment
Dynamic Defender model
Power Grid
execution stages
HAM
hybrid attack model
Markov Chain model
PLADD
preparation stage
Probabilistic Learning Attacker
Chained Attacks
smart power grids
Scalability
security
Data models
cyber-physical systems
learning (artificial intelligence)
Resiliency
pubcrawl
Mathematical model
security of data
Substations
power grids
power engineering computing
power system security
Games
Markov processes
electricity grid
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
Data-Driven Optimization for Utility Providers with Differential Privacy of Users' Energy Profile
Submitted by aekwall on Mon, 06/24/2019 - 2:59pm
Smart Grid Consumeer Privacy
power generation
power generation cost reduction
power generation economics
power system simulation
privacy
privacy risks
pubcrawl
Resiliency
simulated energy consumption data
policy-based governance
smart grid consumer privacy
Smart Grids
smart meters
smart power grids
users demand distribution
users energy profile differential privacy
utility companys real data analysis
utility provider
energy consumption
data privacy
data- driven cost minimization
data-driven optimization
differential privacy
differential private noises
digitally enabled smart grid
distributed differential privacy techniques
electricity grid
data analysis
espionage meters
fine-grained energy consumption data
historical users differentially private data
Human behavior
Metrics
minimisation
Noise measurement
noisy data collection
profile
Paul Basola
CPS Technologies
electricity grid
District of Columbia