计算机工程与应用2018，Vol.54Issue(6)：7-13,7.DOI:10.3778/j.issn.1002-8331.1710-0342
网络视频流量分类的特征选择方法研究
Contrastive analysis of features selection on network video traffic classification
摘要
Abstract
Accurate identification and categorization of multimedia traffic is the premise of end to end QoS(Quality of Service)guarantees.Today,the dramatic growth of data volume takes challenge to network traffic classification.There-fore,using feature selection methods for multimedia flow identification and classification is particularly important in the big data era.This paper introduces related works on feature selection using identification and categorization of multimedia traffic,which is divided into three categories:Filter,Wrapper,Embedded and analyzes the performance of these methods. Then,this paper compares the performance of various feature selection algorithms using latest dataset from three aspects:The running speed,the feature compression rate and the feature selection accuracy.Besides,to improve classification accura-cy,this paper proposes a hierarchical structure to reach fine-grained classification,according to the dataset.关键词
特征选择/视频流分类/多级分类器Key words
features selection/video traffic classification/hierarchical classifier分类
信息技术与安全科学引用本文复制引用
吴争,董育宁..网络视频流量分类的特征选择方法研究[J].计算机工程与应用,2018,54(6):7-13,7.基金项目
国家自然科学基金(No.61271233). （No.61271233）
