The Use of Ensemble Models for Multiple Class and Binary Class Classification for Improving Intrusion Detection Systems

The Use of Ensemble Models for Multiple Class and Binary Class Classification for Improving Intrusion Detection Systems

The pursuit to spot abnormal behaviors in and out of a network system is what led to a system known as intrusion detection systems for soft computing besides many researchers have applied machine learning around this area. Obviously, a single classifier alone in the classifications seems impossible...

Full description

Bibliographic Details
Main Authors: Celestine Iwendi, Suleman Khan, Joseph Henry Anajemba, Mohit Mittal, Mamdouh Alenezi, Mamoun Alazab
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
intrusion detection system
ensemble methods
feature selection
machine learning
false positive rate
artificial intelligence
Online Access:https://www.mdpi.com/1424-8220/20/9/2559

Internet

https://www.mdpi.com/1424-8220/20/9/2559

Similar Items