Research On The Application Of The Distributed Intrusion Detection System Based On The Neural Network Technology

Intrusion detection is developed in recent years as a new type of network security strategy, which implemented a dynamic detection and monitoring, and its intelligence having gradually become a hot research.Introduction in this paper, Intrusion Detection System Model and traditional detection methods at the same time, pointing out that the intrusion detection system should have functions and intrusion detection system of classification, an analysis of intelligent detection in intrusion detection system advantage. For intelligent demands, this intrusion detection introduced BP neural network, established agent-based distributed intrusion detection system architecture model based on the common intrusion detection framework (CIDF) to build an intelligent distributed intrusion detection system and studied various angles in various models of the modules function, to explore the relationship.This article also established neural network detection module, analyzed the network characteristics of the data, normalized and applied them to detect, verified that the neural network to identify the unknown attacker. Recognition algorithm and carried out in-depth studies.