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

G Cascavilla, G Catolino, M Conti, D Mellios… - ACM Transactions on …, 2024 - 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 …

[HTML][HTML] Identifying Similar Users Between Dark Web and Surface Web Using BERTopic and Authorship Attribution

GY Shin, DW Kim, SJ Park, A Park, Y Kim, MM Han - Electronics, 2025 - mdpi.com
The dark web is a part of the deep web that ensures anonymity to users, thus facilitating
various malicious activities, such as the sales of drugs, firearms, and personal information or …

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 …