Research on the Application of Distributed Intrusion Detection System Based on Election Algorithm

Distributed intrusion detection system, as a kind of important security defense technology, is widely used in all kinds of information network system. In this thesis, the detection overhead host node values are determined by application of exponential scale method, through the qualitative judgment and quantitative calculation. A distributed election algorithm is also proposed, master control center elected by the actual cost of the value of nodes, which greatly improve the overall defense capability of intrusion detection system. The main control center of the election can optimizer such key factors as reliabilities of current network bandwidth, link and detection subsystem performance at real-time, and make the system resources obtain the reasonable use, and greatly improve the overall defense capability of intrusion detection system.