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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