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Network Intrusion Detection Using Dynamic Fuzzy C Means Clustering
2015
International Journal of New Technologies in Science and Engineering
unpublished
Internet has become a vital part of any organization. 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. In this paper, we implement a new Improved Dynamic FCM algorithm and successfully integrate it in WEKA to expand the system functions of the open-source platform, so that users can directly call
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