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Improvement on Wu-manber multi-pattern matching algorithm

机译:Wu-manber多模式匹配算法的改进

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With development of computer and network technology, string matching are widely used in information retrieval, intrusion detection, network data analysis and other fields. String matching algorithms and experimental analysis of previous studies are set in the pattern scale to tens of thousands of circumstances, for the large-scale pattern set algorithm was not conducted under the in-depth analysis. This paper studies the classic multi-pattern matching algorithm Wu-manber algorithm is proposed under large-scale pattern set algorithm based on Wu-manber three improved algorithms: hash based on the shortest length of the key algorithm, the value of pre-screening algorithm multi-hash, group comparison algorithm. Experiment results show that these improvements can enhance the capability and performance of classic Wu-Manber algorithm.
机译:随着计算机和网络技术的发展,字符串匹配已广泛应用于信息检索,入侵检测,网络数据分析等领域。字符串匹配算法和以往研究的实验分析都在模式规模下设置了成千上万的情况,因为在大规模模式下没有进行深入的模式设置算法。本文研究了经典的多模式匹配算法Wu-manber算法,在基于Wu-manber的大规模模式集算法的基础上提出了三种改进算法:基于最短密钥的哈希算法,预筛选算法的值多哈希,组比较算法。实验结果表明,这些改进可以增强经典Wu-Manber算法的性能和性能。

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