TY  - JOUR 
AU  - Magán-Carrion, Roberto
AU  - Urda Muñoz, Daniel
AU  - Díaz-Cano, Ignacio
AU  - Dorronsoro, Bernabé
PY  - 2020
UR  - http://hdl.handle.net/10259/7240
AB  - Presently, we are living in a hyper-connected world where millions of heterogeneous
devices are continuously sharing information in different application contexts for wellness, improving
communications, digital businesses, etc. However, the bigger...
LA  - eng
PB  - MDPI
KW  - Network intrusion detection
KW  - NIDS
KW  - Machine learning
KW  - Attack detection
KW  - Communications networks
KW  - Methodology
KW  - Informática
KW  - Computer science
TI  - Towards a Reliable Comparison and Evaluation of Network Intrusion Detection Systems Based on Machine Learning Approaches
DO  - 10.3390/app10051775
T2  - Applied Sciences
VL  - 10
ER  -