【摘要】 提出基于自组织变异粒子滤波的网络入侵检测算法,通过建立粒子密度函数计算数据信息向量权值,根据节点粒子聚集簇粒子估计判断是否出现粒子变异状态。计算出的估计流量值与自定义阀值进行比较判断筛选自组织变异粒子。运用粒子变异滤波方程式提取出自组织变异粒子状态位置做出响应的过程。仿真实验表明,基于自组织变异粒子滤波的网络入侵检测算法,具有高度的容错能力,使网络入侵检测更具有自适应能力,检测率高,告警信息可信度强,为计算机网络的安全提供了保障。更多还原

【Abstract】 Variation particle filter is proposed based on self-organization network intrusion detection algorithm, through the establishment of the particle density function calculation data information vector weights, according to the particle aggregation node cluster particles variation state estimate judgment whether the particles. Calculate the estimated flow value compared with the custom threshold judgment screening of self-organization mutation particle. Particle variation kalman filtering equation is extracted from the organization variation process of particle state position makes the corresponding response. Simulation experiments show that the network intrusion detection based on self-organization mutation particle filter algorithm, has high fault tolerance, is a network intrusion detection is more adaptive ability and high detection rate, warning information with high reliability. Has provided the safeguard for the computer network security.更多还原