Internet Archive Scholar
Filters
























1 Hit in 3.6 sec

Content-Based Features to Rank Influential Hidden Services of the Tor Darknet [article]

Mhd Wesam Al-Nabki, Eduardo Fidalgo, Enrique Alegre, Deisy Chaves
2019 arXiv   pre-print

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (1.3 MB)
https://web.archive.org/web/20200911125333/https://arxiv.org/pdf/1910.02332v1.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL. The file type is application/pdf.

The proposed framework might support Law Enforcement Agencies in detecting the most influential domains related to possible suspicious activities.  ...  To this end, this paper presents a novel content-based ranking framework to detect the most influential onion domains.  ...  [2] proposed an algorithm, called ToRank, to rank and detect the most influential domains in the Tor network.  ... 
arXiv:1910.02332v1 fatcat:wzx5u5crvrhbfgisnpnqlibz3q
Citation

Mhd Wesam Al-Nabki, Eduardo Fidalgo, Enrique Alegre, Deisy Chaves. "Content-Based Features to Rank Influential Hidden Services of the Tor Darknet." arXiv (2019)