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Flow-aware Cross Packet Inspection using Bloom Filters for High Speed Data-path Content Matching

机译:使用布隆过滤器进行流感知的跨包检查,以实现高速数据路径内容匹配

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Content matching based algorithms form the core of many network security devices. It is one of the critical components due to the fact that it allows making decisions based on the actual content flowing through the network. The most important parameters that go into the design of a content matching algorithm are its performance and accuracy of detection. Although this topic had received significant attention in literature over past decade, much of the work was focused on improving the performance. The accuracy of detection was limited within a packet instance. Protocols like TCP do not guarantee that message boundaries are preserved. This can result in a segmented pattern across packets. This paper demonstrates a novel flow-aware content matching algorithm that solves this limitation without compromising the performance.
机译:基于内容匹配的算法构成了许多网络安全设备的核心。由于它允许基于流经网络的实际内容进行决策,因此它是关键组件之一。内容匹配算法设计中最重要的参数是其性能和检测准确性。尽管在过去的十年中,这个主题在文学中得到了极大的关注,但是许多工作都集中在提高性能上。检测的准确性在数据包实例中受到限制。像TCP这样的协议不能保证保留消息边界。这可能会导致跨数据包的分段模式。本文演示了一种新颖的流感知内容匹配算法,该算法可解决此限制而不会影响性能。

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