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Cyber-Physical Systems Virtual Organization

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

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gas pipeline system

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Visible to the public Machine Learning for Reliable Network Attack Detection in SCADA Systems

Submitted by aekwall on Mon, 07/01/2019 - 10:10am
  • open SCADA protocols
  • Training
  • SVM
  • Support vector machines
  • support vector machine
  • supervisory control and data acquisition systems
  • security of data
  • SCADA Systems Security
  • SCADA systems
  • SCADA
  • Resiliency
  • Random Forest
  • pubcrawl
  • Protocols
  • Pipelines
  • Payloads
  • Anomaly Detection
  • network attacks
  • network attack detection
  • missing data estimation
  • malicious intrusions
  • machine learning
  • learning (artificial intelligence)
  • Intrusion Detection Systems
  • Human behavior
  • gas pipeline system
  • F1 score
  • data normalization
  • critical infrastructures
  • control engineering computing
  • composability

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