ToRank: Identifying the most influential suspicious domains in the Tor network

  1. Al-Nabki, M.W.
  2. Fidalgo, E.
  3. Alegre, E.
  4. Fernández-Robles, L.
Revue:
Expert Systems with Applications

ISSN: 0957-4174

Année de publication: 2019

Volumen: 123

Pages: 212-226

Type: Article

DOI: 10.1016/J.ESWA.2019.01.029 GOOGLE SCHOLAR

Objectifs de Développement Durable

La source de données: Scopus