Cargando…
Network classification for traffic management: anomaly detection, feature selection, clustering and classification
This authored book investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks.
Autores principales: | Tari, Zahir, Fahad, Adil, Almalawi, Abdulmohsen, Yi, Xun |
---|---|
Lenguaje: | eng |
Publicado: |
Institution of Engineering & Technology
2020
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2763517 |
Ejemplares similares
-
An Attribute Extraction for Automated Malware Attack Classification and Detection Using Soft Computing Techniques
por: Albishry, Nabeel, et al.
Publicado: (2022) -
Network Traffic Classification by Program Synthesis
por: Shi, Lei, et al.
Publicado: (2021) -
Traffic anomaly detection
por: Cuadra-Sánchez, Antonio, et al.
Publicado: (2015) -
Data-Driven Network Analysis for Anomaly Traffic Detection
por: Alam, Shumon, et al.
Publicado: (2023) -
Deep Encrypted Traffic Detection: An Anomaly Detection Framework for Encryption Traffic Based on Parallel Automatic Feature Extraction
por: Long, Gang, et al.
Publicado: (2023)