How Much Training Data is Enough? A Case Study for HTTP Anomaly-Based Intrusion Detection

  1. Estepa, R.
  2. Diaz-Verdejo, J.E.
  3. Estepa, A.
  4. Madinabeitia, G.
Revue:
IEEE Access

ISSN: 2169-3536

Année de publication: 2020

Volumen: 8

Pages: 44410-44425

Type: Article

DOI: 10.1109/ACCESS.2020.2977591 GOOGLE SCHOLAR lock_openAccès ouvert editor
La source de données: Scopus