Abstract:Abstract-The rapid growth of network based activities makes computer security is a more crucial issue. Many security methods are developed and used, but they are unfit to detect novel intrusions. Therefore, we propose a hybrid intrusion detection framework based on data mining classification and clustering techniques. In the proposed hybrid framework, improves the detection rate by taking the advantages of misuse and anomaly detection. In case of misuse detection, intrusion patterns are built automatically fro… Show more
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