Research on identity verification of mobile based on user behavior characteristics

Two authentication schemes are proposed based on the unique behavior patterns of the smartphone users entering the authentication password and sliding the touch screen.The one class support vector machine(OCSVM) algorithm is applied to the authentication model,and the grid search algorithm is used to obtain the optimal parameters of the model.The experimental results show that the two authentication schemes have good generalization ability and verification accuracy,and the identity verification process will not interfere with the normal user operation.