Research of Intrusion Detection Method Based on Rough Set and Adaptive Boost

摘要：

This paper proposes an intrusion detection method combining rough set with ADA-boost algorithm.In virtue of the ability rough set has to decease the amount of data and get rid of redundancy, the method can reduce the a-mount of ADAboosttraining data used and improve running speed. Adaboost is a learning al-gorithm for constructing accurate classifiers. It can obtain a strong learning algorithm by combining a series of weak learning algorithms through some rules. The result of the experiment shows that this model has high detection rate.

关键词： intrusion detection rough set reduction adaboost, classification

作者: SONG Jian ZOU Muchun SUN Wei ZOU Muchun

作者单位: School of network Lanzhou University of Technology Lanzhou, 730050, China School of Maths and Computer YiChun University YiChun,336000,China School of communication and computer Lanzhou University of Technology Lanzhou, 730050, China

会议类型: 国际会议

会议名称: 第二届国际计算机新科技与教育学术会议(Proceedings of the Second International Conference on Computer Science & Education ICCSE2007)

会议地点: 武汉

会议语种:英文

页码: 142-145

在线出版日期: 2007-07-25（万方平台首次上网日期，不代表论文的发表时间）