TY  - GEN 
AU  - Medina-Arco, Joaquín Gaspar
AU  - Magán Carrión, Roberto
AU  - Rodríguez-Gómez, Rafael Alejandro
AU  - García Teodoro, Pedro
PY  - 2024
UR  - https://hdl.handle.net/10481/90257
AB  - With the significant increase in cyber-attacks and attempts to gain unauthorised access to systems and information, Network Intrusion-Detection Systems (NIDSs) have become essential detection tools. Anomaly-based systems use machine learning...
LA  - eng
PB  - MDPI
KW  - Anomaly detection
KW  - NIDS
KW  - Deep learning
KW  - Autoencoders
KW  - Methodology
KW  - Real network datasets
KW  - Data quality
TI  - Methodology for the detection of contaminated training datasets for machine learning-based Network Intrusion Detection Systems
DO  - 10.3390/s24020479
ER  -