Research of intrusion detection algorithm based on weighted moving window
Yuan Liu · Jisuanji yingyong yanjiu · 2010
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.