摘要
提出一种基于C4.5算法的Snort报警信息模糊聚合的自适应改进模型,通过对入侵属性在入侵行为上的影响差异的规则挖掘,构建调整模型,主动修改决策属性的权重矩阵,自主适应网络入侵环境的变化,提高报警信息聚合的准确率。
An improved adaptive model based on CA. 5 algorithm for fuzzy aggregating Snort intrusion alarms was presented. With the rule-mining of the diff erence impact on intrusion properties based on intrusion action, the model was adjusted, and the weight matrix of decision-making property was amended. Therefore the variety of intrusion environment was adapted actively, and the accuracy rate of intrusion alarm aggregation was enhanced.
出处
《计算机应用》
CSCD
北大核心
2009年第B12期97-99,共3页
journal of Computer Applications
