Abstract: Aiming at the problems of existing solution for identity authentication,the paper provided a method about the identity authentication based on mouse behaviour.First,it gave the authentication model based on the mouse action and the entity set,and then defined the mouse action by hierarchical division method.At the same time,it gave the definition of features related to the mouse action and the computing method.The paper used random forest classifier as the classification tool to solve the problem of data over-fitting and noise in the existing solution.In the phase of authentication,it used hierarchical classification-decision model for identity authentication.Finally,the paper analyzed the method through experiment,showing a better false rejection rate and false acceptance rate.

Key words: Identity authentication,Mouse behavior,Random forest