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GROCHOL, D.; SEKANINA, L.
Originální název
Evolutionary Design of Hash Functions for IPv6 Network Flow Hashing
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
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.
Anglický abstrakt
Klíčová slova
Cartesian genetic programming, linear genetic programming, hash function, network flow, Internet protocol
Klíčová slova v angličtině
Autoři
Rok RIV
2021
Vydáno
03.09.2020
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
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/" }
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