State of the Art for String Analysis and Pattern Search Using CPU and GPU Based Programming

dc.creatorVargas-Lombardo, Miguel
dc.creatorGóngora-Blandón, Mario
dc.date.accessioned2018-03-16T19:06:17Z
dc.date.accessioned2018-11-08T16:25:14Z
dc.date.available2018-03-16T19:06:17Z
dc.date.available2018-11-08T16:25:14Z
dc.date.created2018-03-16T19:06:17Z
dc.date.issued2012-08-26
dc.identifier2153-1234
dc.identifierhttp://ridda2.utp.ac.pa/handle/123456789/4421
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/2196310
dc.description.abstractString 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 sh ow ed 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.
dc.languageen
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/deed.es
dc.subjectGPU
dc.subjectString Matching
dc.subjectPattern Matching
dc.titleState of the Art for String Analysis and Pattern Search Using CPU and GPU Based Programming
dc.typeArtículos de revistas


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