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A multi-pattern hash-binary hybrid algorithm for URL matching in the HTTP protocol.
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- Author(s): Zeng P;Zeng P;Zeng P; Tan Q; Tan Q; Tan Q; Meng X; Meng X; Shao Z; Shao Z; Xie Q; Xie Q; Yan Y; Yan Y; Cao W; Cao W; Xu J; Xu J
- Source:
PloS one [PLoS One] 2017 Apr 11; Vol. 12 (4), pp. e0175500. Date of Electronic Publication: 2017 Apr 11 (Print Publication: 2017).- Publication Type:
Journal Article- Language:
English - Source:
- Additional Information
- Source: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
- Publication Information: Original Publication: San Francisco, CA : Public Library of Science
- Subject Terms:
- Abstract: In this paper, based on our previous multi-pattern uniform resource locator (URL) binary-matching algorithm called HEM, we propose an improved multi-pattern matching algorithm called MH that is based on hash tables and binary tables. The MH algorithm can be applied to the fields of network security, data analysis, load balancing, cloud robotic communications, and so on-all of which require string matching from a fixed starting position. Our approach effectively solves the performance problems of the classical multi-pattern matching algorithms. This paper explores ways to improve string matching performance under the HTTP protocol by using a hash method combined with a binary method that transforms the symbol-space matching problem into a digital-space numerical-size comparison and hashing problem. The MH approach has a fast matching speed, requires little memory, performs better than both the classical algorithms and HEM for matching fields in an HTTP stream, and it has great promise for use in real-world applications.
- Publication Date: Date Created: 20170412 Date Completed: 20170912 Latest Revision: 20170912
- Publication Date: 20240829
- Accession Number: PMC5388485
- Accession Number: 10.1371/journal.pone.0175500
- Accession Number: 28399157
- Source:
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