Evolutionary Design of Hash Functions for IPv6 Network Flow Hashing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F20%3APU138696" target="_blank" >RIV/00216305:26230/20:PU138696 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/publication/12169/" target="_blank" >https://www.fit.vut.cz/research/publication/12169/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC48606.2020.9185723" target="_blank" >10.1109/CEC48606.2020.9185723</a>
Alternative languages
Result language
angličtina
Original language name
Evolutionary Design of Hash Functions for IPv6 Network Flow Hashing
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE Congress on Evolutionary Computation
ISBN
978-1-7281-6929-3
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
1-8
Publisher name
IEEE Computational Intelligence Society
Place of publication
Los Alamitos
Event location
Glasgow
Event date
Jul 19, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000703998201109