Publication detail

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

GROCHOL, D. SEKANINA, L. ŽÁDNÍK, M. KOŘENEK, J.

Original Title

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

Type

conference paper

Language

English

Original 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 optimized 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).

Keywords

computer network, cartesian genetic programming, classifier, FPGA

Authors

GROCHOL, D.; SEKANINA, L.; ŽÁDNÍK, M.; KOŘENEK, J.

RIV year

2015

Released

29. 3. 2015

Publisher

Springer International Publishing

Location

Berlin

ISBN

978-3-319-16548-6

Book

Applications of Evolutionary Computation, 18th European Conference

Edition

Lecture Notes in Computer Science

Pages from

67

Pages to

78

Pages count

12

URL

https://www.fit.vut.cz/research/publication/10772/

BibTex

@inproceedings{BUT119801,
  author="David {Grochol} and Lukáš {Sekanina} and Martin {Žádník} and Jan {Kořenek}",
  title="A Fast FPGA-Based Classification of Application Protocols Optimized Using Cartesian GP",
  booktitle="Applications of Evolutionary Computation, 18th European Conference",
  year="2015",
  series="Lecture Notes in Computer Science",
  volume="9028",
  pages="67--78",
  publisher="Springer International Publishing",
  address="Berlin",
  doi="10.1007/978-3-319-16549-3\{_}6",
  isbn="978-3-319-16548-6",
  url="https://www.fit.vut.cz/research/publication/10772/"
}

Documents

evocomnet15.pdf