An Improved Intrusion System Design using Hybrid Classification Technique
The data mining is an essential tool for current age technology. It is very useful for various applications such as business intelligence, computational cloud and other research and science based projects. In this presented paper, a new kind of intrusion system design is proposed and their implementation is presented using MATLAB. The proposed attack classification technique is based on the C4.5 decision tree and the supervised back propagation neural network. During the attack classification the proposed system first pre-processes the input dataset.