Dark Side of the Web: Dark Web Classification Based on TextCNN and Topic Modeling Weight

GY Shin, Y Jang, DW Kim, S Park, A Park, Y Kim… - IEEE …, 2023 - ieeexplore.ieee.org
The Dark Web is an internet domain that ensures user anonymity and has increasingly
become a focal point for illegal activities and a repository for information on cyberattacks …

When the Few Outweigh the Many: Illicit Content Recognition with Few-Shot Learning

G Cascavilla, G Catolino, M Conti, D Mellios… - arXiv preprint arXiv …, 2023 - arxiv.org
The anonymity and untraceability benefits of the Dark web account for the exponentially-
increased potential of its popularity while creating a suitable womb for many illicit activities …

Enabling Public Security Text-Based Analytics: A Survey to Outline Research Directions

VDH De Carvalho, RJR Dos Santos… - 2024 - preprints.org
Text mining is a technological trend often highlighted in the continuous exchange of
information through interconnected media. Its applicability goes beyond private …

Few Images, Many Insights: Illicit Content Detection Using a Limited Number of Images

G Cascavilla, G Catolino, M Conti, D Mellios… - ACM Transactions on … - dl.acm.org
The anonymity and untraceability benefits of the dark web increased its popularity
exponentially. The cost of these technical benefits is that such anonymity has created a …