Deep learning criminal networks

HV Ribeiro, DD Lopes, AAB Pessa, AF Martins… - Chaos, Solitons & …, 2023 - Elsevier
Recent advances in deep learning methods have enabled researchers to develop and apply
algorithms for the analysis and modeling of complex networks. These advances have …

Machine learning partners in criminal networks

DD Lopes, BR Cunha, AF Martins, S Gonçalves… - Scientific Reports, 2022 - nature.com
Recent research has shown that criminal networks have complex organizational structures,
but whether this can be used to predict static and dynamic properties of criminal networks …

[HTML][HTML] Panorama de riesgos por el uso de la tecnología en América Latina

JS Rojas-Díaz, JJ Yepes-Londoño - Trilogía Ciencia Tecnología …, 2022 - scielo.org.co
El uso de las tecnologías de la información y de la comunicación ha generado, en décadas
recientes, cambios sociales que evidencian bienestar y desarrollo en la sociedad. Pero …

The potential harms of the Tor anonymity network cluster disproportionately in free countries

E Jardine, AM Lindner… - Proceedings of the …, 2020 - National Acad Sciences
The Tor anonymity network allows users to protect their privacy and circumvent censorship
restrictions but also shields those distributing child abuse content, selling or buying illicit …

A social network analysis and comparison of six dark web forums

I Pete, J Hughes, YT Chua… - 2020 IEEE European …, 2020 - ieeexplore.ieee.org
With increasing monitoring and regulation by platforms, communities with criminal interests
are moving to the dark web, which hosts content ranging from whistle-blowing and privacy …

The dark side of the web—a risk for children and adolescents challenged by isolation during the novel coronavirus 2019 pandemic

P Ferrara, G Franceschini, G Corsello… - The Journal of …, 2021 - jpeds.com
Conclusions The current global health crisis has brought unprecedented changes in
people's interactions and routines owing to social distancing and confinement. In several …

A multitask transfer learning framework for the prediction of virus-human protein–protein interactions

TN Dong, G Brogden, G Gerold, M Khosla - BMC bioinformatics, 2021 - Springer
Background Viral infections are causing significant morbidity and mortality worldwide.
Understanding the interaction patterns between a particular virus and human proteins plays …

Law enforcement and disruption of offline and online activities: A review of contemporary challenges

C Faubert, D Décary-Hétu, A Malm, J Ratcliffe… - Cybercrime in Context …, 2021 - Springer
The digital world represents a new frontier for law enforcement operations. The virtual nature
of online communications creates challenges regarding legal frameworks and sovereignty …

Universality of political corruption networks

AF Martins, BR da Cunha, QS Hanley, S Gonçalves… - Scientific Reports, 2022 - nature.com
Corruption crimes demand highly coordinated actions among criminal agents to succeed.
But research dedicated to corruption networks is still in its infancy and indeed little is known …

[HTML][HTML] Detecting child sexual abuse images: Traits of child sexual exploitation hosting and displaying websites

E Guerra, BG Westlake - Child Abuse & Neglect, 2021 - Elsevier
Background Automated detection of child sexual abuse images (CSAI) often relies on image
attributes, such as hash values. However, electronic service providers and others without …