CEASEFIRE: An AI-powered system for combatting illicit firearms trafficking
Jorgen Cani, Ioannis Mademlis, Marina Mancuso, Caterina Paternoster,, Emmanouil Adamakis, George Margetis, Sylvie Chambon, Alain Crouzil, Loubna, Lechelek, Georgia Dede, Spyridon Evangelatos, George Lalas, Franck Mignet,, Pantelis Linardatos, Konstantinos Kentrotis
TL;DR
This paper introduces CEASEFIRE, an AI-powered system designed to assist law enforcement in combating illicit firearms trafficking, which has become more complex due to cybercrime integration and technological advancements.
Contribution
The paper presents a novel AI-based system tailored for real-world law enforcement use to address the evolving challenges of firearms trafficking.
Findings
Enhanced detection capabilities for illicit firearms activities
Improved law enforcement efficiency in trafficking investigations
Integration of cybercrime and offline trafficking data
Abstract
Modern technologies have led illicit firearms trafficking to partially merge with cybercrime, while simultaneously permitting its off-line aspects to become more sophisticated. Law enforcement officers face difficult challenges that require hi-tech solutions. This article presents a real-world system, powered by advanced Artificial Intelligence, for facilitating them in their everyday work.
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Taxonomy
TopicsAdversarial Robustness in Machine Learning