A NOVEL METHOD FOR INTRUSION DETECTION BASED ON ECC AND RADIAL BIAS FEED FORWORD NETWORK
Keywords:
Intrusion detection, Classification, Clustering, ECC, ECC-RBF, KDD CUP 99.Abstract
In this paper Neural Network model combined with prototype clustering and classification for fast and accurate detection of intrusion in host based system. Previous RBF suffered from grouping of pattern of intrusion, now this problem are reduced using Distance variable ensemble cluster classification and increase the rate of detection of infected data in host system. Our methodology test in KDD CUP 99 and calculate the rate of detection Accuracy, Precision, Recall, False positive rate, false negative rate, true positive rate, True negative rate.
