电信科学

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基于智能业务识别的可信路由研究

李 君,张顺颐,李翠莲,宣 冶   

  1. 南京邮电大学信息网络技术研究所 浙江万里学院;南京邮电大学信息网络技术研究所;浙江万里学院;浙江万里学院
  • 出版日期:2009-03-15 发布日期:2009-03-15
  • 基金资助:
    国家“863”计划基金资助项目(No . 2005AA121620, No . 2006AA01Z232),江苏省普通高校研究生科研创新计划资助项目(No.CX07B_110z)

A Novel Trustworthy Routing Architecture Based on Intelligent Traffic Classification

Li Jun,Zhang Shunyi,Li Cuilian and Xuan Ye   

  1. Nanjing University of Posts and Telecommunication Zhejiang Wanli University;Nanjing University of Posts and Telecommunication;Zhejiang Wanli University;Zhejiang Wanli University
  • Online:2009-03-15 Published:2009-03-15

摘要: 本文研究并提出了基于智能业务识别与控制的可信路由架构。该架构根据动态配置的安全/QoS策略,在智能业务分类与识别的基础上,标记数据包,执行业务流量自适应调节与控制,并采用队列管理和调度管理,实现可信QoS路由。此外,本文综合了端口匹配法的简单、快速、复杂度低和灵活性好,净荷分析法的精确有效,以及流量特征分析法可扩展性好等特点,提出并建立了实时智能网络业务分类系统。该系统具有较高精度、低计算复杂度、良好的可扩展性、早期检测和鲁棒等优点,是高速链路可信路由的前提和保障。

Abstract: Trustworthy networks will be an important trend of the research on network security and quality of service (QoS) provisioning. In this paper, we firstly present QoS routing model based on traffic classification to support the deployment of trustworthy networks. It consists of the components such as dynamic configuration of security/QoS policies, accurate traffic classification in real-time, packet marking, automatic traffic regulation and control, queue scheduling mechanism, and QoS routing. Thereof, elaborate scheme of intelligent traffic classification is investigated and proposed to facilitate the model. The traffic classification system is characterized as high accuracy, low computational complexity, scalability, early detection, and robustness by leveraging the advantages of various classification approaches. It is, therefore, expected to be used in the context of real-time traffic classification.

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