Self-adaptive database intrusion detection system model based on data mining
Tao Li · Jisuanji gongcheng yu sheji · 2010
To increase the security of database system, with the two improved algorithms, a self-adaptive model of database intrusion detection system is designed.According to the limitation of producing misuse detection rules, the mid-results of the improved Apriori algorithm are used to perfect the library of misuse detection rules.Considering the characteristics of misuse detection and abnormal detection, misuse detection is executed before the abnormal detection to make the detection more accurate.According to the results of detection, rules library should be updated continually to improve self-adaption of system.