桂林电子科技大学学报2017，Vol.37Issue(6)：473-477,5.
基于改进决策树算法的入侵检测方法
An intrusion detection method based on improved decision tree algorithm
摘要
Abstract
C4.5 attribute selection has more numerical attributes in anomaly detection technology,so an intrusion detection method based on improved decision tree algorithm is proposed.By adding the balance factor and the idea of fusing the math-ematical limit,the equilibrium factor is determined by the number of attributes.The calculation method is simplified by Lo-bida rule.The information gain rate method is used to optimize the attribute selection mechanism and improve the attribute selection bias in the original algorithm.The experimental results show that the improved decision tree algorithm has a good recognition effect on traffic identification.关键词
入侵检测/流量识别/决策树/平衡因子Key words
intrusion detection/traffic identification/decision tree/balance factor分类
信息技术与安全科学引用本文复制引用
姜潇蔚,王勇..基于改进决策树算法的入侵检测方法[J].桂林电子科技大学学报,2017,37(6):473-477,5.基金项目
国家自然科学基金(61662018,61661015,61163058) （61662018,61661015,61163058）
广西自然科学基金(2016GXNSFAA380153) （2016GXNSFAA380153）
广西云计算与大数据协同创新中心基金(2015209,2015207) （2015209,2015207）
广西高校云计算与复杂系统重点实验室基金(YD16E15) （YD16E15）
