Neuro-fuzzy Based Clustering of Intrusion Detection in Combined Network

The partition based k-means cluster used to group anomaly traffic data aggregates, form the cluster with distance measure as the parameter of normal and anomaly clusters. However frequent variation on the data propagation change the value of the traffic data packets influenced by scrupulous nodes polluting the normal data packets. The dynamic and frequent changes of the propagation data, generates cluster of improper data aggregation and leads to uneven reporting of traffic data nature.