吉林大学学报（理学版）Issue(3)：505-510,6.DOI:10.13413/j.cnki.jdxblxb.2015.03.30
基于 ReliefF 的入侵特征选择方法
Intrusion Feature Selection Methods Based on ReliefF
摘要
Abstract
The authors analyzed the intrusion feature selection methods and algorithms based on ReliefF.Combining with the characteristics,in which data points have high similarity in the same class and nonsimilarity in different classes,and optimizing the compute method of intrusion feature weight,we proposed an improved algorithm Re-ReliefF.It resolved the problems about processing efficiency with the data dimensions in network security.Experiments on the network security test datasets showed the effectiveness of the proposed algorithms, and the improved algorithm has advantages on performance compared to the traditional one.关键词
入侵检测/特征选择/ReliefF 算法Key words
intrusion detection/feature selection/ReliefF algorithm分类
信息技术与安全科学引用本文复制引用
杨志伟,努尔布力,贾雪,胡亮..基于 ReliefF 的入侵特征选择方法[J].吉林大学学报（理学版）,2015,(3):505-510,6.基金项目
国家自然科学基金(批准号:61163052 （）
61303231)、国家自然科学基金重点项目(批准号:61433012)、国家自然科学基金联合基金(批准号:U1435215)、新疆维吾尔自治区青年科技创新人才培养工程项目(批准号:2014731002)、新疆大学多语种实验室开放课题和新疆大学校级创新团队资助项目 （批准号:61433012）
