Design of a New Intrusion Detection System Based on Database
Gongxing Wu, Yimin Huang · 2009
Intrusion detection analyzes unauthorized accesses and malicious behaviors and finds intrusion behaviors and attempts by detecting the state and activity of an operation system to provide an effective means for intrusion defense. Applying the intrusion detection technology to databases is an effective method of enabling databases to have positive and active security mechanisms. This paper makes an intensive study of a database intrusion detection technology, especially an anomaly detection technology based on data mining first and then puts forward a kind of realization based on Trie tree for the classical algorithm of association rules---Apriori and finally uses Apriori algorithm to realize the extraction of user behavior rules.