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Cyber-Physical Systems Virtual Organization

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

CPS-VO

intrusive traffics

biblio

Visible to the public Applying Machine Learning to Anomaly-Based Intrusion Detection Systems

Submitted by aekwall on Mon, 01/20/2020 - 11:56am
  • NSL-KDD dataset
  • unsupervised anomaly traffic detection techniques
  • telecommunication traffic
  • Support vector machines
  • support vector machine
  • stochastic gradient decent
  • sequential model
  • security of data
  • Resiliency
  • regression analysis
  • random forests
  • random forest classifier
  • pubcrawl
  • anomaly-based Intrusion Detection Systems
  • NSL-KDD
  • Malicious Traffic
  • machine learning techniques
  • machine learning
  • logistic regression
  • intrusive traffics
  • Intrusion Detection systems (IDSs)
  • Intrusion Detection Systems
  • Internet-based traffic
  • internet
  • gradient methods
  • composability

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