QR Kodea

Drift-Aware Online Ensemble Learning for Real-Time Cybersecurity in Internet of Medical Things Networks

The rapid growth of Internet of Medical Things (IoMT) devices has revolutionized diagnostics and patient care within smart healthcare networks. However, this progress has also expanded the attack surface due to the heterogeneity and interconnectivity of medical devices. To overcome the limitations o...

Deskribapen osoa

Gorde:
Egile Nagusiak: Fazliddin Makhmudov, Gayrat Juraev, Ozod Yusupov, Parvina Nasriddinova, Dusmurod Kilichev
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: MDPI AG 2026-03-01
Saila:Machine Learning and Knowledge Extraction
Gaiak:
concept drift detection
ensemble learning
Internet of Things
intrusion detection
leveraging bagging
network security
Sarrera elektronikoa:https://www.mdpi.com/2504-4990/8/3/67
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak