华中师范大学学报（自然科学版）2012，Vol.46Issue(5)：537-539,568,4.
基于协同神经网络的网络流量异常检测
Network traffic anomaly detection based on synergetic neural network
摘要
Abstract
For network traffic with complex dynamics characteristic, a method is proposed for network traffic anomaly detection, which based on a top-down synergetic neural network. First select the datasets that contain normal network traffic and abnormal attack traffic as a prototype pattern, and then calculate order parameter by synergetic neural network. Finally the detection result is obtained according to the evolution result of the order parameter corresponding to the prototype pattern in the end. Experimental results show that this method can effectively identify normal traffic and types of abnormal attacks.关键词
网络流量/异常检测/协同神经网络/序参量Key words
network traffic/ anomaly detection/ synergetic neural network/ order parameter分类
信息技术与安全科学引用本文复制引用
马卫,熊伟..基于协同神经网络的网络流量异常检测[J].华中师范大学学报（自然科学版）,2012,46(5):537-539,568,4.基金项目
中南民族大学校级基金项目(YZQ09006). （YZQ09006）
