"A Hybrid Model for Network Anomalies Classification Based on Improved ..."

Ruiyang Zeng, Bing Jiang (2024)

> Home

Details and statistics

DOI: 10.1109/ICBASE63199.2024.10762742

access: closed

type: Conference or Workshop Paper

metadata version: 2025-03-11

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icbase/ZengJ24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icbase/ZengJ24
Ruiyang Zeng, Bing Jiang:
A Hybrid Model for Network Anomalies Classification Based on Improved Random Forest and Frequent Itemset Matching. ICBASE 2024: 693-700

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.