Communication Dans Un Congrès Année : 2024

CEASEFIRE: An AI-Powered System for Combating Illicit Firearms Trafficking

Georgia Dede
  • Fonction : Auteur
George Lalas
  • Fonction : Auteur
Sophia Karagiorgou
  • Fonction : Auteur
George Pantelis
  • Fonction : Auteur

Résumé

Modern technologies have enabled illicit firearms trafficking to partially merge with cybercrime, while also allowing its off-line aspects to become increasingly complex. The online trade of firearms, their components, 3D blueprints and illicit substances carried out by criminals on both the surface Web and dark Web is increasingly difficult to address as a consequence of the exponential growth in the amount of information disseminated on the Internet. On the other hand, law enforcement agencies are confronted with significant challenges that require the development of sophisticated technological solutions capable of processing large volumes of data, identifying relevant information in a timely manner and creating networks of connections between potential criminal groups. This article presents a real-world practical system, namely the CEASEFIRE one, powered by advanced artificial intelligence technologies that can assist law enforcement personnel in addressing the above described challenges.

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Dates et versions

hal-04949493 , version 1 (15-02-2025)

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Citer

Jorgen Cani, Ioannis Mademlis, Marina Mancuso, Caterina Paternoster, Emmanouil Adamakis, et al.. CEASEFIRE: An AI-Powered System for Combating Illicit Firearms Trafficking. 2024 IEEE International Conference on Big Data (BigData), Dec 2024, Washington, United States. pp.2697-2705, ⟨10.1109/BigData62323.2024.10825989⟩. ⟨hal-04949493⟩
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