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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

complex features

biblio

Visible to the public Experimental Evaluation of a Multi-Layer Feed-Forward Artificial Neural Network Classifier for Network Intrusion Detection System

Submitted by grigby1 on Mon, 04/02/2018 - 12:40pm
  • network intrusion detection system
  • water
  • UNSW-NB15 dataset
  • UNSW-NB15
  • unseen data
  • Training
  • testing
  • security of data
  • Resiliency
  • resilience
  • pubcrawl
  • policy-based governance
  • pattern classification
  • Neural networks
  • network security
  • Artificial Neural Networks
  • multilayer feed-forward artificial neural Network
  • Metrics
  • Measurement
  • learning (artificial intelligence)
  • intrusion detection system
  • Intrusion Detection
  • H2O
  • feedforward neural nets
  • deep learning binomial classifier
  • deep learning
  • conventional machine-learning algorithms
  • complex features
  • Big Data

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