Internet has become a vital part of any organization. Sensitive and confidential information is being sent over the network. But with the growth of internet, intrusion and attacks have also increased. Thus, there arises a need of robust and powerful intrusion detection systems which can detect the attacks. Recently, many novel methods are experimented to build strong IDSs. This paper is to present a methodology that can recognize and detect attacks efficiently. In this paper, the authors implement the FCM algorithm and successfully integrate it in WEKA to expand the system functions of the open-source platform, so that users can directly call the FCM algorithm to do fuzzy clustering analysis.