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.
Aldizkaria:
Applied Sciences (Switzerland)

ISSN: 2076-3417

Argitalpen urtea: 2020

Alea: 10

Zenbakia: 5

Mota: Artikulua

DOI: 10.3390/APP10051775 GOOGLE SCHOLAR lock_openSarbide irekia editor
Datuen iturria: Scopus