关键词:入侵检测系统模型; 数据挖掘; 移动窗口算法; 加权移动窗口; 网络数据流; 频繁集; 支持度
Research of intrusion detection algorithm based on weighted moving window
LU Zhi-ping, LIU Yuan
(School of Digital Media, Jiangnan University, Wuxi Jiangsu 214122, China)
Abstract:To overcome the current intrusion detection question that detecting response was slow,and false detection rate and false negative rates were relatively high and so on, studied the weighted moving window of this data mining method. Firstly, recognized and decomposed the existing mobile window algorithms. It pointed out that the shortcomings of existing algorithms, presented the detailed algorithm of the weighted moving window, adjusted the training window automatically, and updated timely the patterns of detection. Based on the weighted moving window algorithm, constructed a weighted moving window-based intrusion detection system model. Finally, an example testing and result analysis shows that the execution time of the algorithm in different window sizes, different minimum support and the increasing data sets is better than other algorithms.......