文章基本信息

标题：Enhanced Intrusion Detection Using Feature Extraction and Adaptive Boost With SVM-RBF Kernel
本地全文：下载
作者：Maninder Singh ; Sanjeev Rao
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2015
卷号：6
期号：3
页码：101-104
语种：English
出版社：Ayushmaan Technologies
摘要：With the quick increment of web innovation, the malevolent exercises on the system are likewise expanding. So the utilization of a productive technique is must to distinguish the intrusion. Security for all systems is turning into a major issue. In this paper we compared the existing machine learning algorithms and proposed a new hybrid approach of classifier which is Adaptive boost with SVM-RBF.
关键词：Intrusion Detection System;KDD Dataset;Weka;Machine Learning Algorithms