Research of Detection Method of Server Network Storm Attack

Abstract

Abstract. In the detection process of server network storm attack, the traditional method takes the signal detection algorithm, because the attack number is large, the detection error is big. According to the problem, an improved server network storm attack detection method is proposed based on improved density clustering algorithm, the server network storm attack detection problem is transformed into a multi class classification problem, wrapper features selection model is taken, IDBC network connection record distance calculation method is combined, based on DBSCAN clustering results, the data clustering and attack detection is obtained. Simulation results show that, the improved density clustering algorithm is applied in detection of server network storm attack, it can reduce the detection error, the performance of the detection system is improved.