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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

data measurements

biblio

Visible to the public 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

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