摘要
基于局部孤立系数波峰法LOCW与云理论定性描述的入侵检测系统是当前安全技术的有力补充,对它的研究具有现实意义。采用多传感器加权平均的方法融合出正常状态下均方误差最小的数据融合值,将个不同时刻收集到的数据与之依次相比较得出个偏差值,利用提出的LOCW对得到的个偏差值进行离散数值区间的合理划分,并结合云理论构造自适应评语集组成的定性评测云发生器,最后通过定性评测云发生器与偏差的大小得出系统的定性描述。实验结果证明了该方法的有效性。
Qualitative description of intrusion detection system based on local outlier coefficient wave and cloud theory are good complement to security technology and study on it makes realistic sense. The value of the minimum average mean variance will be fused using the weighted mean method for multi-sensor, m deviations will be gained by comparing the value of the minimum average mean variance with data at m arbitrary moments. The m deviations will be partitioned reasonably in distributed interval and sequentially qualitativeevaluation cloud generator consisting of adaptive mark sets is sonstructed by combining LOCW with colud theory.Eventually,we will get the qualitative description of system using qualitative evaluation cloud generator and the deviations. The experimental results show the validity of method.
出处
《计算机工程与设计》
CSCD
北大核心
2009年第13期3063-3065,3069,共4页
Computer Engineering and Design
基金
甘肃省自然科学基金项目(0803RJZA024)
关键词
入侵检测系统
云理论
局部孤立系数波峰法
多传感器加权平均
定性描述
intrusion detection system
cloud theory
local outlier coefficient wave
weighted mean method for multi-sensor
qualitative description
