计算机工程2011，Vol.37Issue(3)：134-136,3.DOI:10.3969/j.issn.1000-3428.2011.03.048
基于级联结构AdaBoost的入侵检测算法
Intrusion Detection Algorithm Based on AdaBoost with Cascade Structure
游晓黔 1黄小红 2秦靖2
作者信息
- 1. 重庆邮电大学数理学院,重庆,400065
- 2. 重庆邮电大学计算机学院,重庆,400065
- 折叠
摘要
Abstract
This paper proposes an improved AdaBoost algorithm aiming at intrusion detection according to the features of cascade structure.The improved AdaBoost adjusts the method of acquire parameters, the initial weights and decision threshold so that the weighted parameters of weak classifiers are determined by not only the error rates, but also their abilities to recognize the abnormal samples.The algorithm can decrease the false alarm ratio of classifiers, so it is more adaptive to the intrusion detection.The validity of the improved AdaBoost algorithm is proved by the following simulation experiment.关键词
入侵检测/改进的AdaBoost/级联结构Key words
intrusion detection/ improved AdaBoost/ cascade structure分类
信息技术与安全科学引用本文复制引用
游晓黔,黄小红,秦靖..基于级联结构AdaBoost的入侵检测算法[J].计算机工程,2011,37(3):134-136,3.
