Detail publikace

Evolutionary Design of Hash Functions for IPv6 Network Flow Hashing

GROCHOL, D. SEKANINA, L.

Originální název

Evolutionary Design of Hash Functions for IPv6 Network Flow Hashing

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Fast and high-quality network flow hashing is an essential operation in many high-speed network systems such as network monitoring probes. We propose a multi-objective evolutionary design method capable of evolving hash functions for IPv4 and IPv6 flow hashing. Our approach combines Cartesian genetic programming (CGP) with Non-dominated sorting genetic algorithm II (NSGA-II) and aims to optimize not only the quality of hashing, but also the execution time of the hash function. The evolved hash functions are evaluated on real data sets collected in computer network and compared against other evolved and conventionally created  hash functions.

Klíčová slova

Cartesian genetic programming, linear genetic programming, hash function, network flow, Internet protocol

Autoři

GROCHOL, D.; SEKANINA, L.

Vydáno

3. 9. 2020

Nakladatel

IEEE Computational Intelligence Society

Místo

Los Alamitos

ISBN

978-1-7281-6929-3

Kniha

IEEE Congress on Evolutionary Computation

Strany od

1

Strany do

8

Strany počet

8

URL

https://www.fit.vut.cz/research/publication/12169/

BibTex

@inproceedings{BUT168244,
  author="David {Grochol} and Lukáš {Sekanina}",
  title="Evolutionary Design of Hash Functions for IPv6 Network Flow Hashing",
  booktitle="IEEE Congress on Evolutionary Computation",
  year="2020",
  pages="1--8",
  publisher="IEEE Computational Intelligence Society",
  address="Los Alamitos",
  doi="10.1109/CEC48606.2020.9185723",
  isbn="978-1-7281-6929-3",
  url="https://www.fit.vut.cz/research/publication/12169/"
}

Dokumenty

PID6424525.pdf