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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
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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
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e-ISSN
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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
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