Based On Data Mining Technology, Intrusion Detection Research

Intrusion Detection, which is a new way to protect computers from Internet attacking, is used to identify and respond to the deeds of vicious use of computer and web resource. Based on the application of data mining, this paper has a systematical analysis of Intrusion Detection, aiming to improve the degree of accuracy and effectiveness of the Intrusion Detection system. The author mainly analyzes the advantages and disadvantages of traditional clustering algorithm in Intrusion Detection. Furthermore, an Intrusion Detection system framework is introduced on the basis of C average value algorithm and maxmini. And distribute a IDS model based on data mining.