Design and Implementation of a Database Intrusion Detection Model
Yongpeng Xue · Microcomputer Information · 2009
The traditional database intrusion detection system requires high quality of the time and space.in this paper,We first use the rules of k-means clustering algorithm for the normal userhistory data category To alleviate the association rules algorithm for time and space requirements,hen use the association rules of mining algorithm FP_Growth to form the rule base of knowledge. During running stage of database systems,the database intrusion detection algorithm are used to detect abnormal behavior and malicious affairs operation. At the same time,the database intrusion detection system is separated from the database server with agent technology,reducing cost of the server and improving the efficiency of detection systems.