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Massive Strings Efficient Matching Method Research
Author(s): ZHANG Hong-li, XU Dong-liang, LIANG Min, LIU Yu-feng
Pages: 1220-
1224
Year: 2014
Issue:
6
Journal: Acta Electronica Sinica
Keyword: fingerprint model; pattern matching; fingerprint-based Wu and Manber(WM) algorithm;
Abstract: This paper presents a randomizing fingerprint-based Wu and Manber(WM) algorithm(RFP-WM) ,which can ef-fectively reduce false positives rate by calculating a unique fingerprint for each pattern .Compared with WM algorithm ,RFP-WM al-gorithm greatly reduces the hash collision rate and increases the hit rate ,especially in the massive patterns set .Experiment results show that the performance of the RFP-WM algorithm is more superior than traditional Wu and Manber (WM) algorithm on the larg-er pattern set .
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