Development of Artificial Intelligence Based Module to Industrial Network Protection System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F20%3A39916803" target="_blank" >RIV/00216275:25530/20:39916803 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-55190-2_18" target="_blank" >http://dx.doi.org/10.1007/978-3-030-55190-2_18</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-55190-2_18" target="_blank" >10.1007/978-3-030-55190-2_18</a>
Alternative languages
Result language
angličtina
Original language name
Development of Artificial Intelligence Based Module to Industrial Network Protection System
Original language description
The paper deals with the software-defined networking concept applied to industrial networks. This innovative concept supports network programmability and dynamic implementation of customized features, including security related ones. In a previous work of the authors, the industrial network protection system (INPS) was designed and implemented. The INPS provides complex security features of various traditional and modern security solutions within a single system. In this paper, the AI module, which is one of the crucial parts of the INPS, is dealt with. In particular, a detailed report focused on the development of the AI module decision function is provided. As a result, an artificial neural network, used for the network traffic evaluation in the AI module, is developed and comprehensively tested.
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
20202 - Communication engineering and systems
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
Intelligent Systems and Applications : proceedings of the 2020 Intelligent Systems Conference (IntelliSys), Volume 3
ISBN
978-3-030-55189-6
ISSN
2194-5357
e-ISSN
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Number of pages
12
Pages from-to
229-240
Publisher name
Springer Nature Switzerland AG
Place of publication
Cham
Event location
Londýn
Event date
Sep 3, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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