Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jakub Pawluk"'
Autor:
Milosz Smolarczyk, Jakub Pawluk, Alicja Kotyla, Sebastian Plamowski, Katarzyna Kaminska, Krzysztof Szczypiorski
Publikováno v:
Energies, Vol 16, Iss 10, p 4056 (2023)
This study illustrates the utility and effectiveness of machine learning algorithms in identifying dependencies in data transmitted in industrial networks. The analysis was performed for two different algorithms. The study was carried out for the XGB
Externí odkaz:
https://doaj.org/article/f10598681c4549079aa67cec0c7a7cf6
Publikováno v:
Energies, Vol 15, Iss 4, p 1517 (2022)
This paper demonstrates the effectiveness of using anomaly detection in cyclic communication as a method aimed at protecting industrial installations from steganographic communication and a wide range of cyberattacks. The analysis was performed for a
Externí odkaz:
https://doaj.org/article/7075edf6e7d144a1bfde9ab8fbc99618
Publikováno v:
Electronics
Volume 9
Issue 12
Electronics, Vol 9, Iss 2128, p 2128 (2020)
Volume 9
Issue 12
Electronics, Vol 9, Iss 2128, p 2128 (2020)
This paper presents a new method for steganography detection in network protocols. The method is based on a multilayer approach for the selective analysis of derived and aggregated metrics utilizing machine learning algorithms. The main objective is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b84133b093a2c9a9d3dcb72953786ad1