[PDF][PDF] Deep Semisupervised Learning-Based Network Anomaly Detection in Heterogeneous Information Systems.
N Lutsiv, T Maksymyuk, M Beshley… - … Materials & Continua, 2022 - cdn.techscience.cn
The extensive proliferation of modern information services and ubiquitous digitization of
society have raised cybersecurity challenges to new levels. With the massive number of …
society have raised cybersecurity challenges to new levels. With the massive number of …
Deep semisupervised learning-based network anomaly detection in heterogeneous information systems
N Lutsiv, T Maksymyuk, M Beshley, O Lavriv… - … Materials and Continua, 2021 - elibrary.ru
Funding Statement: This work was supported by the Slovak Research and Development
Agency, project number APVV-18-0214, by the Scientific Grant Agency of the Ministry of …
Agency, project number APVV-18-0214, by the Scientific Grant Agency of the Ministry of …
Deep Semisupervised Learning-Based Network Anomaly Detection in Heterogeneous Information Systems.
N Lutsiv, T Maksymyuk, M Beshley… - Computers …, 2022 - search.ebscohost.com
The extensive proliferation of modern information services and ubiquitous digitization of
society have raised cybersecurity challenges to new levels. With the massive number of …
society have raised cybersecurity challenges to new levels. With the massive number of …