Botnet attacks can carry out a variety of criminal activities besides aim of causing harm and collecting data from vulnerable machines, they have always been a severe issue for Critical Infrastructure and business organizations. In this research, we used Software Defined Networks, which is capable of recognizing botnet behavior by utilizing a machine learning approach and detection of related botnet attacks. We have detected the botnets by creating a monitoring frame work in the SDN environment to identify Botnet in the network flow.