基于特征分析的家庭网络流量识别与系统实现

计算机工程与应用 ›› 2015, Vol. 51 ›› Issue (10): 72-78.

基于特征分析的家庭网络流量识别与系统实现

于智源1，乔美华2，马衍庆1

1.山东大学信息科学与工程学院，济南 250100
2.河海大学商学院，南京 210098

出版日期:2015-05-15 发布日期:2015-05-15

Flow identification based on characteristic analysis and system realization in home networks

YU Zhiyuan1, QIAO Meihua2, MA Yanqing1

1.School of Information Science and Engineering, Shandong University, Jinan 250100, China
2.School of Business, Hohai University, Nanjing 210098, China

Online:2015-05-15 Published:2015-05-15

摘要/Abstract

摘要： 数字家庭网络流量识别对保障数字家庭网络服务质量（Quality of Service，QoS）具有重要作用。提出的Flow Level 流量特征分析法结合Flow Level五元组分析和特征值分析，从五元组，上下行包数比，上下行平均包长及比值，上下行数据量比，源端地址数和端口数之比等方面研究视频点播、视频通话、下载和无线传屏等应用特征。其中，对P2P（Peer to Peer）视频点播和下载的识别方案做了进一步研究。最终满足了数字家庭网络流量识别的需求。在仿真实验阶段，测得家庭网络环境中主要应用占据带宽情况，分析并提取单位时间内应用流量特征值。最终基于Linux平台实现了多终端设备的多应用实时识别系统。

关键词: 数字家庭网络, 应用识别, Flow Level流量特征分析法, 流量实时识别系统

Abstract: Flow identification plays an important role in guaranteeing the performance of quality of service for digital home networks. On the basis of characteristic analysis and flow level five tuple analysis, this paper proposes Flow Level characteristic approaches and studies the application features of Video On Demand（VOD）, QQ video, download and multi-screens etc. from the perspective of five tuple, the ratio of total number of uplink packets to total number of downlink packets, uplink and downlink mean packet length and its ratio, the ratio of uplink total bytes to downlink total bytes, the ratio of the number of source addresses to the number of source ports. Furthermore the P2P VOD and P2P download identification are further studied. This Flow Level characteristic analysis approaches are satisfied with the need of flow identification for digital home network. In the experiment, the bandwidth occupation is measured, the features of the main applications per unit time are analyzed and extracted in the home networks. The multi-application real-time identification system for the multi-devices on the Linux platform is realized.

Key words: digital home networks, application identification, flow level characteristic approaches, real-time flow identification system

于智源1，乔美华2，马衍庆1. 基于特征分析的家庭网络流量识别与系统实现[J]. 计算机工程与应用, 2015, 51(10): 72-78.

YU Zhiyuan1, QIAO Meihua2, MA Yanqing1. Flow identification based on characteristic analysis and system realization in home networks[J]. Computer Engineering and Applications, 2015, 51(10): 72-78.