A Fast FPGA-Based Classification of Application Protocols Optimized Using Cartesian GP
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Grochol:2015:evoApplications,
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author = "David Grochol and Lukas Sekanina and Martin Zadnik and
Jan Korenek",
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title = "A Fast {FPGA}-Based Classification of Application
Protocols Optimized Using {Cartesian GP}",
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booktitle = "18th European Conference on the Applications of
Evolutionary Computation",
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year = "2015",
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editor = "Antonio M. Mora and Giovanni Squillero",
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series = "LNCS",
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volume = "9028",
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publisher = "Springer",
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pages = "67--78",
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address = "Copenhagen",
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month = "8-10 " # apr,
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organisation = "EvoStar",
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keywords = "genetic algorithms, genetic programming, Cartesian
genetic programming",
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isbn13 = "978-3-319-16548-6",
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DOI = "doi:10:10.1007/978-3-319-16549-3_6",
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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).",
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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