%0 Journal Article
%T Detection of abnormal system call based on immunology<br>基于免疫原理的非法系统调用的检测*
%A HUANG Jie
%A LI Tao
%A <br>黄杰
%A 李涛
%J 计算机应用研究
%D 2007
%I 
%X Intrusion detection systems rely on a wide variety of observable data to distinguish between legitimate and illegitimate activities. This paper studied one such observable: sequences of system calls into the kernel of an operating system. This paper presented a novelty detection algorithm inspired by the negative selection mechanism of the immune system, which discriminated between self and other. The experiments verify the feasibility and effectiveness of this method.
%K computer immunology
%K system call
%K negative selection<br>计算机免疫
%K 系统调用
%K 否定选择
%K 免疫原理
%K 系统调用
%K 检测操作
%K immunology
%K based
%K system
%K call
%K abnormal
%K 有效性
%K 方法
%K 实验验证
%K 分合法
%K 否定选择算法
%K 应用
%K 序列
%K 系统内核
%K 法的行为
%K 数据检测
%K 检测系统
%K 入侵
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C793235A4E87B8F6F30574E28EE91530&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=5D311CA918CA9A03&sid=31611641D4BB139F&eid=43608FD2E15CD61B&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=13