%0 Journal Article
%T Intrusion Detection System Combining Misuse and Anomaly Based on Neural Network Ensemble<br>基于集成神经网络的智能决策入侵检测系统
%A CHEN Xiao
%A XIA Wei
%A BAO Wen
%A <br>陈晓
%A 夏威
%A 包文
%J 计算机系统应用
%D 2010
%I 
%X Traditional intrusion detection systems always have such problems as distortion and leakage. To solve these problems, this paper puts forward a new intrusion detection system which could combine misuse detection and anomaly detection. The system is based on neural network ensemble and it uses D-S evidence theory to combine the two intrusion detection technologies. The paper also expatiates on the main structure of the intrusion detection system and the composing module designation.
%K intrusion detection system
%K neural network
%K misuse
%K anomaly
%K D-S evidence theory<br>入侵检测系统
%K 神经网络
%K 误用
%K 异常
%K D-S证据理论
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=CACCED849C442F1E80CC7A67E1B64385&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=94C357A881DFC066&sid=A63576421B012172&eid=EDA22B444205D04A&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=5