Research on intrusion detection based on campus network

Authors:
Baoyi Wang;Feng Li;Shaomin Zhang
Affiliations:
School of computer, North China, Electric Power University, Baoding Hebei, China;School of computer, North China, Electric Power University, Baoding Hebei, China;School of computer, North China, Electric Power University, Baoding Hebei, China
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

Citing 3
Cited 0

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Abstract

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.