A Fast FPGA-Based Classification of Application Protocols Optimized Using Cartesian GP

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@InProceedings{Grochol:2015:evoApplications,

• author = "David Grochol and Lukas Sekanina and Martin Zadnik and Jan Korenek",
• title = "A Fast {FPGA}-Based Classification of Application Protocols Optimized Using {Cartesian GP}",
• booktitle = "18th European Conference on the Applications of Evolutionary Computation",
• year = "2015",
• editor = "Antonio M. Mora and Giovanni Squillero",
• series = "LNCS",
• volume = "9028",
• publisher = "Springer",
• pages = "67--78",
• address = "Copenhagen",
• month = "8-10 " # apr,
• organisation = "EvoStar",
• keywords = "genetic algorithms, genetic programming, Cartesian genetic programming",
• isbn13 = "978-3-319-16548-6",
• DOI = "doi:10:10.1007/978-3-319-16549-3_6",
• abstract = "This paper deals with design of an application protocol classifier intended for high speed networks operating at 100 Gbps. Because a very low latency is the main design constraint, the classifier is constructed as a combinational circuit in a field programmable gate array. The classification is performed using the first packet carrying the application payload. In order to further reduce the latency, the circuit is optimised by Cartesian genetic programming. Using a real network data, we demonstrated viability of our approach in task of a very fast classification of three application protocols (HTTP, SMTP, SSH).",
• notes = "COMNET EvoApplications2015 held in conjunction with EuroGP'2015, EvoCOP2015 and EvoMusArt2015 http://www.evostar.org/2015/cfp_evoapps.php",

}

Genetic Programming entries for David Grochol Lukas Sekanina Martin Zadnik Jan Korenek

Citations