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A fast string search algorithm for deep packet classification

机译:用于深度数据包分类的快速字符串搜索算法

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摘要

In this paper, we propose a string search algorithm that requires reduced time complexity. It also requires a small amount of memory, and shows better performance than any other algorithm for deep packet classification based on their payload data. The proposed algorithm is based on Boyer-Moore algorithm but requires a much reduced number of operations. In addition, our algorithm's memory requirement is lower than Boyer-Moore algorithm without sacrificing its speed. We have done time complexity analysis and verified its time complexities through extensive numerical simulations. These simulations show that our algorithm's performance is better for long text, long pattern, and large alphabet set and even its worst case time complexity linearly depends on the length of the text.
机译:在本文中,我们提出了一种字符串搜索算法,该算法需要减少时间复杂度。它还需要少量的内存,并且比任何其他基于有效载荷数据进行深数据包分类的算法都具有更好的性能。所提出的算法基于Boyer-Moore算法,但是所需的操作数量大大减少。另外,我们的算法的内存要求低于Boyer-Moore算法,而不会牺牲其速度。我们已经进行了时间复杂度分析,并通过广泛的数值模拟验证了其时间复杂度。这些模拟表明,对于长文本,长模式和大字母集,我们的算法性能更好,甚至在最坏情况下,时间复杂度也线性取决于文本的长度。

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