Abstract: In order to improve detection effect of illegal users intrusion behavior in cloud computing environment, we designed a new detection model of illegal users intrusion behavior in cloud computing environment. Firstly, the features of illegal users intrusion behaviors in cloud computing environment were extracted, and features were selected by using principal component analysis. Secondly, least square support vector machine was used to classify and detect the intrusion behavior of illegal users, which parameters of least square support vector machine were determined by using particle swarm optimization algorithm. Finally, the validity of the model was verified by selecting specific illegal users intrusion data set. The results show that the proposed model can obtain higher accuracy rate of intrusion detection results of illegal users, and accelerate detection speed of illegal users intrusion behavior.

Key words: cloud computing, illegal user, intrusion behavior, detection model