Three-branch random forest intrusion detection model

HIGHLIGHTS

  • who: Chunying Zhang et al. from the College of Science, North China University of Science and Technology, Tangshan, China have published the research: Three-Branch Random Forest Intrusion Detection Model, in the Journal: Mathematics 2022, 10, x FOR PEER REVIEW of /2022/
  • what: The experiment shows that this method improves the decision-making to avoid blind classification, and delayed decision making on d performance of intrusion detection system as a whole. The experiment is based on Intel Xeon W-2123 processor, Windows Server 2019 operating system, and Python 3.7.9 version is used for . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?