首页> 中文期刊> 《清华大学学报(英文版)》 >Architecture-Aware Session Lookup Design for Inline Deep Inspection on Network Processors

Architecture-Aware Session Lookup Design for Inline Deep Inspection on Network Processors

         

摘要

Today's firewalls and security gateways are required to not only block unauthorized accesses by authenticating packet headers,but also inspect flow payloads against malicious intrusions.Deep inspection emerges as a seamless integration of packet classification for access control and pattern matching for intrusion prevention.The two function blocks are linked together via well-designed session lookup schemes.This paper presents an architecture-aware session lookup scheme for deep inspection on network processors (NPs).Test results show that the proposed session data structure and integration approach can achieve the OC-48 line rate (2.5 Gbps) with inline stateful content inspection on the Intel IXP2850 NP.This work provides an insight into application design and implementation on NPs and principles for performance tuning of NP-based programming such as data allocation,task partitioning,latency hiding,and thread synchronization.

著录项

  • 来源
    《清华大学学报(英文版)》 |2009年第1期|19-28|共10页
  • 作者

    XU Bo; HE Fei; XUE Yibo; LI Jun;

  • 作者单位

    Department of Automation,Tsinghua University,Beijing 100084,China;

    Research Institute of Information Technology (RIIT),Tsinghua University,Beijing 100084,China;

    Department of Automation,Tsinghua University,Beijing 100084,China;

    Research Institute of Information Technology (RIIT),Tsinghua University,Beijing 100084,China;

    Research Institute of Information Technology (RIIT),Tsinghua University,Beijing 100084,China;

    Tsinghua National Laboratory for Information Science and Technology (TNList),Beijing 100084,China;

    Research Institute of Information Technology (RIIT),Tsinghua University,Beijing 100084,China;

    Tsinghua National Laboratory for Information Science and Technology (TNList),Beijing 100084,China;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 物理学;
  • 关键词

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