Hybrid Intrusion Detection System Based on the Stacking Ensemble of C5 Decision Tree Classifier and One Class Support Vector Machine

Hybrid Intrusion Detection System Based on the Stacking Ensemble of C5 Decision Tree Classifier and One Class Support Vector Machine

Cyberttacks are becoming increasingly sophisticated, necessitating the efficient intrusion detection mechanisms to monitor computer resources and generate reports on anomalous or suspicious activities. Many Intrusion Detection Systems (IDSs) use a single classifier for identifying intrusions. Single...

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Bibliographic Details
Main Authors: Ansam Khraisat, Iqbal Gondal, Peter Vamplew, Joarder Kamruzzaman, Ammar Alazab
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Electronics
Subjects:
anomaly detection
hybrid approach
c5.0 decision tree
cyber analytics
data mining
machine learning
zero-day malware
intrusion
intrusion detection system
Online Access:https://www.mdpi.com/2079-9292/9/1/173

Internet

https://www.mdpi.com/2079-9292/9/1/173

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