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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

1D-CNN model

biblio

Visible to the public Hybrid Attack Detection Framework for Industrial Control Systems using 1D-Convolutional Neural Network and Isolation Forest

Submitted by grigby1 on Tue, 03/30/2021 - 11:53am
  • Industrial Control System (ICS)
  • SWaT testbed
  • sensors
  • secure water treatment
  • Scalability
  • Resiliency
  • resilience
  • pubcrawl
  • production engineering computing
  • process control
  • neural nets
  • learning (artificial intelligence)
  • isolation forest-based detection model
  • Isolation Forest (IF)
  • industrial plants
  • 1D-CNN model
  • industrial control system
  • industrial control
  • ICS Anomaly Detection
  • ICs
  • Forestry
  • feature extraction model
  • feature extraction
  • Data models
  • Convolutional Neural Network models
  • convolutional neural network (CNN)
  • control engineering computing
  • Auto-Encoder (AE)
  • Anomaly Detection
  • actuators

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