Title : Incremental Hybrid Intrusion Detection Using Ensemble of weak classifiers ( سیستم تشخیص نفوذ ترکیبی با استفاده از کلاسبند های ضعیف )
Authors: امین رسولی فرد , Abbas Ghaemi Bafghi , محسن کاهانی ,
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 are 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 evaluation on KDD Cup dataset are presented
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 are 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 evaluation on KDD Cup dataset are presented
Keywords
@inproceedings{paperid:102630,
author = {امین رسولی فرد and Ghaemi Bafghi, Abbas and محسن کاهانی},
title = {Incremental Hybrid Intrusion Detection Using Ensemble of weak classifiers},
booktitle = {},
year = {},
}
%0 Conference Proceedings
%T Incremental Hybrid Intrusion Detection Using Ensemble of weak classifiers
%A امین رسولی فرد
%A Ghaemi Bafghi, Abbas
%A محسن کاهانی
%J
%D
