TY  - JOUR 
AU  - Estepa, Rafael
AU  - Díaz Verdejo, Jesús Esteban
AU  - Estepa, Antonio
AU  - Madinabeitia, Germán
PY  - 2020
UR  - http://hdl.handle.net/10481/61835
AB  - Most anomaly-based intrusion detectors rely on models that learn from training datasets whose
quality is crucial in their performance. Albeit the properties of suitable datasets have been formulated,
the influence of the dataset size on the...
LA  - eng
PB  - IEEE
KW  - Anomaly-based intrusion detection
KW  - Dataset assessment
TI  - How Much Training Data Is Enough? A Case Study for HTTP Anomaly-Based Intrusion Detection
DO  - 10.1109/ACCESS.2020.2977591
ER  -