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  • 标题:State of the Art for String Analysis and Pattern Search Using CPU and GPU Based Programming
  • 本地全文:下载
  • 作者:Mario Góngora-Blandón ; Miguel Vargas-Lombardo
  • 期刊名称:Journal of Information Security
  • 印刷版ISSN:2153-1234
  • 电子版ISSN:2153-1242
  • 出版年度:2012
  • 卷号:3
  • 期号:4
  • 页码:314-318
  • DOI:10.4236/jis.2012.34038
  • 出版社:Scientific Research Publishing
  • 摘要:String matching algorithms are an important piece in the network intrusion detection systems. In these systems, the chain coincidence algorithms occupy more than half the CPU process time. The GPU technology has showed in the past years to have a superior performance on these types of applications than the CPU. In this article we perform a review of the state of the art of the different string matching algorithms used in network intrusion detection systems; and also some research done about CPU and GPU on this area.
  • 关键词:GPU; String Matching; Pattern Matching
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