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A High-Throughput System Architecture for Deep Packet Filtering in Network Intrusion Prevention

机译:网络入侵防护深度数据包过滤的高吞吐量系统架构

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Pattern matching is one of critical parts of Network Intrusion Prevention Systems (NIPS). Pattern matching hardware for NIPS should find a matching pattern at wire speed. However, that alone is not good enough. First, pattern matching hardware should be able to generate sufficient pattern match information including the pattern index number and the location of the match found at wire speed. Second, it should support pattern grouping to reduce unnecessary pattern matches. Third, it should show constant worst-case performance even if the number of patterns is increased. Finally it should be able to update patterns in a few minutes or seconds without stopping its operations. We modify Shift-OR hardware accelerator and propose a system architectures to meet the above requirement. Using Xilinx FPGA simulation, we show the new system scaled well to achieve a high speed over 10Gbps and satisfies all of the above requirements.
机译:模式匹配是网络入侵防御系统(NIPS)的关键部分之一。用于NIPS的模式匹配硬件应在线速度找到匹配模式。然而,单独的是不够好的。首先,模式匹配硬件应该能够生成足够的模式匹配信息,包括模式索引号和在线速度找到的匹配的位置。其次,它应该支持模式分组,以减少不必要的模式匹配。第三,即使模式数量增加,它也应该显示恒定的最坏情况性能。最后,它应该能够在几分钟或秒内更新模式而不停止其操作。我们修改了Shift-or硬件加速器,并提出了一个系统架构以满足上述要求。使用Xilinx FPGA仿真,我们展示了新系统缩放良好,以实现高速超过10Gbps,满足所有上述要求。

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