activity
20222025
most citedIllicit Darkweb Classification via Natural-language Processing: Classifying Illicit Content of Webpages based on Textual Information

18 citations · 26 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2025

Scraping the Shadows: Deep Learning Breakthroughs in Dark Web Intelligence

Ingmar Bakermans, Daniel De Pascale, Gonçalo Marcelino +2

Darknet markets (DNMs) facilitate the trade of illegal goods on a global scale. Gathering data on DNMs is critical to ensuring law enforcement agencies can effectively combat crime…

cs.CR2024

CRATOR: a Dark Web Crawler

Jessica De Pascale, Giuseppe Cascavilla, Damian A. Tamburri +1

Dark web crawling is a complex process that involves specific methodologies and techniques to navigate the Tor network and extract data from hidden services. This study proposes a…

cs.IR2023★ 18 cited

Illicit Darkweb Classification via Natural-language Processing: Classifying Illicit Content of Webpages based on Textual Information

Giuseppe Cascavilla, Gemma Catolino, Mirella Sangiovanni

This work aims at expanding previous works done in the context of illegal activities classification, performing three different steps. First, we created a heterogeneous dataset of…

cs.CV2023★ 1 cited

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

G. Cascavilla, G. Catolino, M. Conti +2

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 activi…

cs.CY2023★ 6 cited

Counter-terrorism in cyber-physical spaces: Best practices and technologies from the state of the art

Giuseppe Cascavilla, Damian A. Tamburri, Francesco Leotta +2

Context: The demand for protection and security of physical spaces and urban areas increased with the escalation of terroristic attacks in recent years. We envision with the propos…

cs.CR2022

Real-world K-Anonymity Applications: the \textsc{KGen} approach and its evaluation in Fraudulent Transactions

Jessica De Pascale, Giuseppe Cascavilla, Damian A. Tamburri +1

K-Anonymity is a property for the measurement, management, and governance of the data anonymization. Many implementations of k-anonymity have been described in state of the art, bu…

cs.CR2022★ 1 cited

Internet-of-Things Architectures for Secure Cyber-Physical Spaces: the VISOR Experience Report

Jessica De Pascale, Giuseppe Cascavilla, Mirella Sangiovanni +2

Internet of things (IoT) technologies are becoming a more and more widespread part of civilian life in common urban spaces, which are rapidly turning into cyber-physical spaces. Si…