Research of Network Intrusion-Detection System Based on Data Mining

摘要

In this paper, the algorithm for data mining of intrusion detection system has been improved and optimized so as to achieve intelligent detection of network data. Winsock2 SPI is used during the design to intercept data in the network, and the method of "session filtering" is adopted to filter network packets. The system consists of modules of control rules and intelligent detection, etc. According to actual detection, the system is capable of displaying network connection status on a real-time basis, effectively controlling application programs and intelligently detecting network data.