Publication detail

Evolutionary Design of Hash Functions for IPv6 Network Flow Hashing

GROCHOL, D. SEKANINA, L.

Original Title

Evolutionary Design of Hash Functions for IPv6 Network Flow Hashing

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

GROCHOL, D.; SEKANINA, L.

Released

3. 9. 2020

Publisher

IEEE Computational Intelligence Society

Location

Los Alamitos

ISBN

978-1-7281-6929-3

Book

IEEE Congress on Evolutionary Computation

Pages from

1

Pages to

8

Pages count

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/"
}

Documents

PID6424525.pdf