Title : ( Incremental Hybrid Intrusion Detection Using Ensemble of Weak Classifiers )
Authors: Amin Rasoulifard , Abbas Ghaemi Bafghi ,
Full TextAbstract
In this paper, an incremental hybrid intrusion detection system is introduced. This system combines incremental misuse detection and incremental anomaly detection. It can learn new classes of intrusions that do not exist in the training dataset for incremental misuse detection. As the framework has low computational complexity, it is suitable for real-time or on-line learning. Also experimental evaluations on KDD Cup dataset are presented.
Keywords
, Hybrid intrusion detection system, Ensemble of Weak Classifiers, Incremental learning, KDD Cup 99 Dataset.
@inproceedings{paperid:1009519,
author = {Rasoulifard, Amin and Ghaemi Bafghi, Abbas},
title = {Incremental Hybrid Intrusion Detection Using Ensemble of Weak Classifiers},
booktitle = {CSICC 2008, کنفرانس بین المللی انجمن کامپبوتر ایران},
year = {2008},
location = {IRAN},
keywords = {Hybrid intrusion detection system; Ensemble of Weak Classifiers;
Incremental learning; KDD Cup 99 Dataset.},
}
%0 Conference Proceedings
%T Incremental Hybrid Intrusion Detection Using Ensemble of Weak Classifiers
%A Rasoulifard, Amin
%A Ghaemi Bafghi, Abbas
%J CSICC 2008, کنفرانس بین المللی انجمن کامپبوتر ایران
%D 2008
