Anomaly extraction using association rule with the heterogeneous detectors

Anomaly detection techniques are used to detect the abnormal behavior. It is also used to identify security attack. The proposed system finds flows those are anomalous from the state of flows. Apriori algorithm is uses to identify anomalous flows which are present in network traffic. In this proposed method, first preprocessing of input traffic flow is done; Apriori algorithm is applied over network traffic flows are detecting. Heterogeneous detectors are applied on frequent item set to And anomalous flow. It enhances the performance in terms of speed as well as detection accuracy.