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Architecture for Context-driven Packet Payload Processing Engine

机译:上下文驱动的数据包有效负载处理引擎的体系结构

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Link speeds have been increasing dramatically over the past few years, and packet analysis has broadened from conventional header search to search of predefined strings in packet payload. With increasing traffic speed, conventional software based packet processing techniques have difficulty in processing payloads without burdening system performance. This has led researchers to look for hardware-based alternatives for packet processing. One such technique that uses a specialized structure called a "Shared-resource Bloom filter" to isolate potentially suspicious packets is described in this paper. An important part of this technique is the hardware implementation of analyzer unit, which eliminates the false positives coming from the shared resource Bloom filter. Results of a prototype implementation of this technique using Xilinx XC2VP20 FPGA are presented.
机译:在过去的几年中,链接速度已经急剧提高,并且数据包分析已经从传统的头搜索扩展到了在数据包有效载荷中预定义字符串的搜索。随着通信速度的提高,传统的基于软件的分组处理技术难以在不增加系统性能的情况下处理有效载荷。这导致研究人员寻找用于分组处理的基于硬件的替代方案。本文介绍了一种使用称为“共享资源布隆过滤器”的特殊结构隔离潜在可疑数据包的技术。该技术的重要部分是分析器单元的硬件实现,它消除了来自共享资源布隆过滤器的误报。给出了使用Xilinx XC2VP20 FPGA对该技术进行原型实现的结果。

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