A Network Intrusion Intelligent Detection Algorithm Based on AdaBoost
Tan Ai-ping · Journal of Hunan Industry Polytechnic · 2013
In network environment,computer and equipment at any time by malicious intrusion threat,seriously affect the safety of network.Intrusion behavior has upgraded fast,strong concealment,the random characteristics of high,the traditional methods are difficult to effectively prevent,aiming at this problem,this paper presents a SVM based network intrusion detection ensemble learning algorithm,using SVM to build intrusion detection base learner,the AdaBoost integrated study method on the base learner iterative training,to generate the final the intrusion detection model,simulation results show the effectiveness of the algorithm.