Association Rules Based Network Intrusion Detection Method
Hongquan Chen · Dianzi Ke-ji Daxue xuebao · 2009
ORAR association rules algorithm based on relation algebra theory is introduced. The basic method of selecting disciplined data set and features in KDD CUP 99 is analyzed. With ORAR algorithm, the mining aims at frequent three item sets, frequent four item sets, frequent five item sets, and frequent six item set. The mining patterns are used to test data collection, the results are compared according to the accuracy rate and true false rate, and the best frequent item set is achieved.