Intrusion Detection Based On Data Mining Technology Research

In recent years, with Internet's coming into existence, it has gain great development all around globe. Human Being's informationization has improved a lot during these years, at the same time, the demand for network applications also increase. Computer network has gradually become an indispensable part of human society in people's daily life, work and study. However, the network popularization and development has thus brings a series of problems such as network attack, the system of malicious invasions safety. Therefore, the issue of information security began to draw people's attention and have great influences on the national security. It has become one of the important factors of stable society and national security.Intrusion detection technology is a kind of safety technology that detect the invasion of aggression by implementing intrusion detection of target system. This technology has already been widely used in network security at present, and gradually become the hotspot of the network security field. Whereas, the traditional intrusion detection technology still need to improve its shortcomings in adaptability and timeliness urgently.Therefore, aiming at these deficiencies, this article imports a new technology that induct data mining method into traditional intrusion detection that based on traditional intrusion detection with the realization of Apriori algorithm in association rule. Thereby, the function of intrusion detection has been strength in the area of system check and web intrusion detection,which greatly improve the impact of test result and better protective of the network information security.