Towards a reliable comparison and evaluation of network intrusion detection systems based on machine learning approaches

  1. Magán-Carrión, R.
  2. Urda, D.
  3. Díaz-Cano, I.
  4. Dorronsoro, B.
Zeitschrift:
Applied Sciences (Switzerland)

ISSN: 2076-3417

Datum der Publikation: 2020

Ausgabe: 10

Nummer: 5

Art: Artikel

DOI: 10.3390/APP10051775 GOOGLE SCHOLAR lock_openOpen Access editor
Datenquelle: Scopus