A behavior statistic based secure system in social networks

In order to protect the normal operation of social networks from the influence of malicious communication, we established a system to help evaluate information and users. On one hand, based on behavior recognition technology, the information model uses the specific information´s operation data as one of the information´s special features to analyze its reliability. On the other hand, to minimize the impacts of some identity´s malicious use, we use a two-dimensional algorithm, identifying the users´ abnormal behaviors through comparison, as our user model. Our system can effectively reduce malicious communication by identifying malicious information and users in social networks.