Deep Semisupervised Learning-Based Network Anomaly Detection in Heterogeneous Information Systems

Autor:	Juraj Gazda, Orest Lavriv, Volodymyr Andrushchak, Nazarii Lutsiv, Taras Maksymyuk, Mykola Beshley, Liberios Vokorokos, Anatoliy Sachenko
Rok vydání:	2022
Předmět:	Biomaterials Mechanics of Materials Computer science Modeling and Simulation Heterogeneous information Anomaly detection Learning based Data mining Electrical and Electronic Engineering computer.software_genre computer Computer Science Applications
Zdroj:	Computers, Materials & Continua. 70:413-431
ISSN:	1546-2226
DOI:	10.32604/cmc.2022.018773
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e8f5beeddeec4ad692552567160b92b5 https://doi.org/10.32604/cmc.2022.018773 Zobrazit plný text záznamu