%0 Journal Article
%T Intrusion detection method based on rough set and adaptive boost<br>基于RS_Adaboost的入侵检测方法
%A LI Heng-jie
%A <br>李恒杰
%J 计算机应用
%D 2009
%I 
%X To solve the problem of high rate of false negatives and false positives of IDS, an intrusion detection method was proposed in this paper, which combined Rough Set and Adaboost algorithm. Rough set was used to reduce amount of Adaboost' training data and improve running speed. Adaboost was a learning algorithm for constructing accurate classifiers. It can obtain a strong learning algorithm by combining a series of weak learning algorithms through some rules. The experimental results show that the model has ...
%K intrusion detection
%K rough set
%K reduction
%K Adaboost
%K classification<br>入侵检测
%K 粗糙集
%K 约简
%K Adaboost算法
%K 分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=8BCF0BF8B890F3BB040DCCD5EAD35683&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=CA4FD0336C81A37A&sid=7EBE588F611589FC&eid=798FBE8DE1A255B1&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=8