Research on Intrusion Detection Based on Campus Network

This paper analyzes security problem of campus network, and an intrusion detection structure is proposed in order to detect attacks. Algorithm based on data mining is applied into intrusion detection system in campus network. Also association rules are created in intrusion detection to find association relation in network data stream in the algorithm. And the algorithm resolves the problem of frequent scan and invalid rule in traditional association rule algorithm. This method is proved to be more efficient than traditional algorithm and it can detect the intrusion attack behavior in campus network.