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Study on improvement of BM algorithm for intrusion detection

机译:BM入侵检测算法的改进研究

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Pattern matching algorithms are very important in both data mining and the intrusion detection system. Efficiency and accuracy BM algorithm for text matching is relatively high, but, when a large number of repeated and complex characters to match in the network, the efficiency will be lower. Aiming at BM algorithm's efficiency of matching is lower in the network environment, an improved algorithm is proposed in this paper. The results through different experimental show that the improved algorithm reducing the number of character comparisons when comparing features, and shorten the matching time, improve the matching efficiency.
机译:模式匹配算法在数据挖掘和入侵检测系统中都非常重要。文本匹配的效率和准确性BM算法相对较高,但是,当网络中要匹配大量重复和复杂的字符时,效率会降低。针对网络环境下BM算法的匹配效率较低的问题,提出了一种改进的算法。通过不同实验的结果表明,该改进算法减少了特征比较时的字符比较次数,缩短了匹配时间,提高了匹配效率。

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