基于支持向量机的网络攻击态势预测技术研究

Research on Network Attack Situation Forecast Technique Based on Support Vector Machine

作为网络安全主动防御的核心技术之一,网络攻击态势预测技术在网络风险评估与分析中越来越具生命力。该文从入侵检测系统报警综合评估得到网络攻击态势评估指标入手,应用支持向量回归的预测方法对网络攻击态势评估指标进行时间序列预测,给出了算法实现中的训练模块及预测模块结构,仿真结果表明了该方法的准确性。

As one of the most important techniques about active defense, the forecast technique of network attack situation becomes more crucial. The indicator of network attack situation evaluation is defined. The method of support vector regression forecast is used to forecast the indicator of network attack situation evaluation in time series. The framework of learning module and forecast module in the algorithm are produced, Experiment results prove the method is correct.