Investigating the effect of traffic sampling on machine learning-based network intrusion detection approaches

  • Jumabek Alikhanov
  • , Rhongho Jang
  • , Mohammed Abuhamad
  • , David Mohaisen
  • , Daehun Nyang
  • , Youngtae Noh

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)5801-5823
Number of pages23
JournalIEEE Access
Volume10
DOIs
StatePublished - 2022

ASJC Scopus Subject Areas

  • General Computer Science
  • General Materials Science
  • General Engineering

Keywords

  • CNN
  • Deep learning
  • Flow information export
  • Intrusion detection
  • Machine learning
  • Network traffic sampling

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