Skip to Main Content Area
  • CPS-VO
    • Contact Support
  • Browse
    • Calendar
    • Announcements
    • Repositories
    • Groups
  • Search
    • Search for Content
    • Search for a Group
    • Search for People
    • Search for a Project
    • Tagcloud
      
 
Not a member?
Click here to register!
Forgot username or password?
 
Home
National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

hybrid anomaly based intrusion detection system

biblio

Visible to the public Comparing the Performance of Adaptive Boosted Classifiers in Anomaly based Intrusion Detection System for Networks

Submitted by aekwall on Mon, 01/20/2020 - 11:55am
  • intrusion detection Kaggle dataset
  • Training
  • tools
  • Resiliency
  • Random Tree
  • pubcrawl
  • pattern classification
  • network intrusion detection
  • network based intrusion detection
  • naïve Bayes classifier
  • Metrics
  • lengthy detection process
  • learning (artificial intelligence)
  • Intrusion Detection Systems
  • intrusion detection system
  • adaptive boosted classifiers
  • Intrusion Detection
  • hybrid anomaly based intrusion detection system
  • discretization
  • detection rate
  • Decision trees
  • Data mining
  • Correlation based feature weighted Naïve Bayes
  • Correlation
  • computer network security
  • composability
  • boosting techniques
  • boosting process
  • boosting

Terms of Use  |  ©2023. CPS-VO