Intrusion detection based on concept drift detection and online incremental learning

Guardado en:

Detalles Bibliográficos
Publicado en:	International Journal of Pervasive Computing and Communications vol. 21, no. 1 (2025), p. 81-115
Autor principal:	Jemili, Farah
Otros Autores:	Jouini, Khaled, Korbaa, Ouajdi
Publicado:	Emerald Group Publishing Limited
Materias:	Accuracy Deep learning System reliability Performance evaluation Classification Threats Adaptability Artificial neural networks Fault tolerance Taxonomy Availability Batch processing Machine learning Distributed processing Efficiency Intrusion detection systems Nonstationary environments Adaptive algorithms Design analysis Datasets Adaptive systems Performance measurement Methodology Network reliability IP (Internet Protocol) Neural networks Empowerment Effectiveness Industrial Internet of Things Methods Algorithms Resource utilization Drift Cybersecurity Cloud computing
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Sea el primero en dejar un comentario!