TY  - GEN 
AU  - Campazas Vega, Adrián
AU  - Crespo Martínez, Ignacio Samuel
AU  - Guerrero Higueras, Ángel Manuel
AU  - Álvarez Aparicio, Claudia
AU  - Matellán Olivera, Vicente
A4  - Arquitectura y Tecnologia de Computadores
DA  - 2021
SN  - 9783030878719
UR  - https://hdl.handle.net/10612/21313
AB  - [EN] Malicious traffic detection allows for preventing cybersecurity-related threats. Machine learning algorithms are commonly used to detect such traffic in computer networks by analyzing packets. In wide-area networks, such as RedCAYLE (Red de...
LA  - eng
PB  - Springer
KW  - Cibernética
KW  - Netflow features analysis
KW  - K-Nearest Neighbors (KNN)
KW  - Network traffic
KW  - Machine learning
KW  - Network security
KW  - Malicious traffic detection
TI  - Analysis of NetFlow Features’ Importance in Malicious Network Traffic Detection
ER  -