Intelligent malware - trends and possibilities
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F21%3A10249261" target="_blank" >RIV/61989100:27240/21:10249261 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/21:10249261
Result on the web
<a href="http://www.mendel-journal.org/index.php/mendel/article/view/134/155" target="_blank" >http://www.mendel-journal.org/index.php/mendel/article/view/134/155</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.13164/mendel.2021.1.018" target="_blank" >10.13164/mendel.2021.1.018</a>
Alternative languages
Result language
angličtina
Original language name
Intelligent malware - trends and possibilities
Original language description
In recent months and years, with more and more computers and computer systems becoming the target of cyberattacks. These attacks are gaining strength and the sophistication of the approach in terms of how to attack. Attackers and Defenders are increasingly using artificial intelligence methods to maximize the success of their actions. For a successful defence, we must be able to anticipate future threats that may come. For these reasons, our research group is engaged in creating experimental software with artificial intelligence to test the possibilities and capabilities of such malware in the event of its deployment. This software has not only malware capabilities but also antimalware and can be used on both sides. This article introduces the reader to the main principles of our design, which can serve as a future platform for cyber defence systems. (C) 2021, Brno University of Technology. All rights reserved.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
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
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mendel
ISSN
1803-3814
e-ISSN
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Volume of the periodical
27
Issue of the periodical within the volume
1
Country of publishing house
PL - POLAND
Number of pages
5
Pages from-to
18-22
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85109849910