作者
Mohammadreza Ektefa, Sara Memar, Fatimah Sidi, Lilly Suriani Affendey
发表日期
2010/3/17
研讨会论文
2010 International Conference on Information Retrieval & Knowledge Management (CAMP)
页码范围
200-203
出版商
IEEE
简介
As the network dramatically extended, security considered as major issue in networks. Internet attacks are increasing, and there have been various attack methods, consequently. Intrusion detection systems have been used along with the data mining techniques to detect intrusions. In this work we aim to use data mining techniques including classification tree and support vector machines for intrusion detection. As results indicate, C4.5 algorithm is better than SVM in detecting network intrusions and false alarm rate in KDD CUP 99 dataset.
学术搜索中的文章
M Ektefa, S Memar, F Sidi, LS Affendey - 2010 International Conference on Information Retrieval …, 2010