摘要
针对TCP/IP骨干网,利用NetFlow技术,提出一种基于业务流量周期规律特性的建模与异常检测方法。该方法通过挖掘骨干网主要业务流量的规律性,结合时间序列分析方法,有效地预测流量的变化趋势,避免了对复杂的流量非线性趋势进行建模分析。
An approach,using Netflow technology,to model service traffic and anomaly detection on IP backbone in the perspective of periodic traffic feature is proposed.This method avoids the difficulty to model the uncertainty and nonlinear facts in traffic data and provides more accurate information than the thresholds-based detection method.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第7期144-147,共4页
Computer Engineering and Applications
