| With the rapid development of information technology, computer network has gradually penetrated into every corner of modern society, and its security has become a vital problem. The technology of intelligent intrusion detection, which is of many advantages like high intelligence, adaptability and real-time, has become an focus in network security. In this paper, a detailed study of the technique of intelligent intrusion detection combined with the technology of kalman filter, artificial neural network and data mining is made. These studies are mainly divided into two parts. One is to apply the principle of signal processing and noise cancellation to the field of intelligent intrusion detection, design kalman-filter based and ANN-filter based algorithms. The testing of these algorithms indicates they have a good performance in certain condition. The other is to apply the technology of data mining to intelligent intrusion detection, detailedly discuss association analysis, and finally test it with a group of data from KDD-99. |