This paper analyses the current intrusion detection techniques, brings forward a technique that applies cluster algorithm to network intrusion detection, and shows the effect through an experiment.
分析了目前的入侵检测技术，提出了使用聚类算法进行网络入侵检测的方法，并通过试验说明了该方法的应用效果。
An anomaly detection algorithm is presented based on improved KFCM cluster algorithm which can achieve partial best partition.
提出了一种改进的KFCM聚类异常检测算法，该算法可获得局部最优划分。
A quick lines detection algorithm under the general super parallel system environment with scalable cluster structure is presented.
提出了一种在具有可扩展机群体系结构的通用超级并行机环境下的快速直线检测算法。
应用推荐