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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

DL-IDPS

biblio

Visible to the public Deep Learning Enabled Intrusion Detection and Prevention System over SDN Networks

Submitted by grigby1 on Tue, 03/09/2021 - 2:38pm
  • SAE
  • malicious packets
  • MLP
  • Multilayer Perceptron
  • multilayer perceptrons
  • network configuration
  • packet length
  • Payloads
  • policy-based governance
  • prevention system
  • pubcrawl
  • machine learning
  • SDN networks
  • SDN switch
  • secure shell brute-force attacks
  • Software Defined Network
  • software defined networking
  • Software Defined Networks
  • SSH Brute-force
  • SSH brute-force attack
  • stacked auto-encoder
  • Switches
  • deep learning models
  • brute force attacks
  • centralized management approach
  • Computer crime
  • computer network security
  • convolutional neural nets
  • convolutional neural network
  • data planes
  • DDoS Attack
  • DDoS Attacks
  • deep learning
  • anomalous packets
  • denial-of-service attacks
  • DL-IDPS
  • Force
  • Human behavior
  • Human Factors
  • Intrusion Detection
  • learning (artificial intelligence)
  • Long short-term memory
  • LSTM

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