18 citations · 26 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
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…
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…