Publications

@article{velasco-mata_botnet_2019,

title = {Botnet detection on TCP traffic using supervised machine learning},

author = {Javier Velasco-Mata and Eduardo Fidalgo and Víctor González-Castro and Enrique Alegre and Pablo Blanco-Medina},

url = {https://link.springer.com/chapter/10.1007/978-3-030-29859-3_38},

year  = {2019},

date = {2019-01-01},

journal = {Hybrid Artificial Intelligent Systems: 14th International Conference, HAIS 2019, León, Spain, September 4–6, 2019, Proceedings 14},

pages = {444–455},

abstract = {The rise of botnets on the Internet requires detecting their activity. Two datasets (TCP-Int and TCP-Sink) were created to evaluate traffic classifiers. Four Machine Learning models were tested, with Decision Tree achieving the best performance: 0.99 F1 score on TCP-Int and 0.99 AUC score on TCP-Sink.},

note = {Publisher: Springer International Publishing},

keywords = {Botnets, Classifiers, Cybersecurity, Datasets, machine learning},

pubstate = {published},

tppubtype = {article}

}