The Abnormal Behavior Detection Model of the Mobile Internet Based on Selective Semi-supervised Learning

The mobile Internet has higher safety requirements than the traditional Internet in terms of the protection of users’ privacy and behavior. In this paper, we study the key technique of the behavior audit, then combine semi-supervised learning with the selective integration technique and propose an abnormal behavior detection model based on selective semi-supervised learning. The simulation results have proven the effectiveness of the detection model.