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Applications of swarm intelligence algorithms countering the cyber threats

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10247259" target="_blank" >RIV/61989100:27240/20:10247259 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/20:10247259

  • Result on the web

    <a href="https://dl.acm.org/doi/pdf/10.1145/3377929.3398119" target="_blank" >https://dl.acm.org/doi/pdf/10.1145/3377929.3398119</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3377929.3398119" target="_blank" >10.1145/3377929.3398119</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Applications of swarm intelligence algorithms countering the cyber threats

  • Original language description

    In recent years, swarm intelligence in particular, and bio-inspired computing, in general, have successfully utilized in a number of majors from science, engineering to industry. Therefore, it is logical to investigate how such techniques might contribute in the field of cybersecurity. This paper covers swarm-based intelligence techniques for enhancing cybersecurity as well as replenish the literature with fresh reviews on swarm-based methods. Furthermore, challenges and possible future directions when applying swam-based methods in the field of cybersecurity are also discussed, which will offer useful insights for researchers and practitioners. (C) 2020 ACM.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

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

    GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference

  • ISBN

    978-1-4503-7128-5

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    1476-1485

  • Publisher name

    Association for Computing Machinery

  • Place of publication

    New York

  • Event location

    Cancún

  • Event date

    Jul 8, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article