%0 Journal Article
%T Improved Immune-Based Anomaly Algorithm with Variable-Size Detector<br>改进的检测器大小可变的免疫异常检测算法
%A SHU Cai-Liang
%A YAN Xuan-Hui
%A ZENG Qing-Sheng
%A <br>舒才良
%A 严宣辉
%A 曾庆盛
%J 计算机系统应用
%D 2010
%I 
%X Previous research has indicated there are some defects in the traditional immune-based algorithm of detecting abnormity. Two common defects of this are as follows: the detectors created by the algorithm cannot cover all Nonself-space, and the number of the detectors in the algorithm is too big to keep the detectors from covering each other. These defects are the main reasons why the algorithm is not efficient. In this paper, an algorithm, which can deal with mixed-type data and produce detectors in different sizes to improve the capacity of covering Nonself-space is proposed. The simulated and compared experiments show that this algorithm can preferably process mixed-type data and effectively improve the efficiency of generating detectors .
%K intrusion detection
%K artificial immunity
%K negative selection
%K mixed-attribute<br>入侵检测
%K 人工免疫
%K 阴性选择
%K 混合属性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=AC541322EECB214DA240F27FD5596951&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=9CF7A0430CBB2DFD&sid=E514EE58E0E50ECF&eid=6AC2A205FBB0EF23&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=9