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
bad data detection mechanisms
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
