The liveness authentication is very important in surveillance environment especially in border crossing and those places where there is buffer zone or war area. In this paper it is considered that how to test the liveness of iris template to avoid fraudulence and spoofing of iris template. Various data mining can be used to achieve this phenomenon. There are basically two methods for liveness authentication i..e. static and dynamic. A method is proposed in this paper which is based on the combination of static and dynamic methods. WEKA tool is used to generate graphical results based on combination of classification and clustering algorithms. Twenty features were defined to authenticate the liveness authentication. The visual results are presented to validate the results. It was found that J48 is the best classification algorithm for determining the liveness detection rather than DBSCAN. It is concluded that liveliness of iris can be determined by using the soft biometrics.