文章基本信息

标题：Collision Reduction in HTTP Compressed Traffic for Multipattern Matching
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作者：Abdul Mannan Virani ; Somesh Kumar Dewangan
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：10-4
出版社：Seventh Sense Research Group
摘要：Present days security is the key for everything it is considering as major issue in each and every aspect .There are lots of technologies developed to provide a se currently one of them is by using “signaturebased” detection, can’t bare stressed traffic, where marketing value is increasing. This paper developed on the theme of compressed HTTP traffic. HTTP uses GZIP compression. Decompression phase is used by HTTP before performing a string matching. In this a algorithm, Aho–Corasickbased algorithm for Compressed HTTP (ACCH) was used to provide more advantage than the commonly used Aho–Corasick patternmatching algorithm. The advantage of this is that takes advantage of information gathered by the decompression phase in order to accelerate. we explore that it is faster to perform pattern matching on the compressed data, with the defect of decompression than on regular traffic. We are the initial one that analyzes the problem of “onthefly” multipattern matching on compressed HTTP traffic and solves it.
关键词：Data mining; high-dimensional data; similarity measures; indexing