Security

Design of Two Stage Filter Using Enhanced Adaboost for Improving Attack Detection Rates in Network Intrusion Detection

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Executive Summary

Based on the analysis and distribution of network attacks in KDDCup99 dataset and real time traffic, this paper proposes a design of two stage filter which is an efficient and effective approach in dealing with frequent attacks and infrequent attacks in networks. The first stage of the filter is designed using Enhanced Adaboost with Decision tree algorithm to detect the frequent attacks happened in the network and the second stage of the filter is designed using Adaboost with Na?ve Byes algorithm to detect the infrequent attacks in the network.

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