Abstract: In the Internet,computers and equipment are threaded by malicious intrusion,and the safety of network is seriously affected．Intrusion behavior has features of upgraded fast,strong concealment,random characteristics,so the traditional methods are difficult to prevent this problem effectively．In this paper,a network intrusion intelligent detection algorithm based on AdaBoost was presented．The SVM is used to build the learning-module of intrusion detection．The AdaBoost is used for training these learning-modules,and generating the final the intrusion detection model．The simulation results show the effectiveness of the algorithm.

Key words: Security,Integrated learning,Intrusion detection,AdaBoost,SVM