The Research on the Application of Association Rules Mining Algorithm in Network Intrusion Detection

Network intrusion detection system (IDS), as the main security defending technique, is second guard for a network after firewall. Since it can discern and respond to the hostile behavior of the computer and network resource, it is a hot area for research network security nowadays. Data mining technology is applied to the network intrusion detection, and Precision of the detection will be improved by the superiority of data mining. In this paper, there is an example running to contract two algorithms. The result is that the fuzzy rule mining algorithm is more convenient than a priori algorithm to mine mass network log database.