Deep learning criminal networks
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 …
algorithms for the analysis and modeling of complex networks. These advances have …
Machine learning partners in criminal networks
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 …
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 …
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 …
restrictions but also shields those distributing child abuse content, selling or buying illicit …
A social network analysis and comparison of six dark web forums
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 …
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 …
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
Background Viral infections are causing significant morbidity and mortality worldwide.
Understanding the interaction patterns between a particular virus and human proteins plays …
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
The digital world represents a new frontier for law enforcement operations. The virtual nature
of online communications creates challenges regarding legal frameworks and sovereignty …
of online communications creates challenges regarding legal frameworks and sovereignty …
Universality of political corruption networks
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 …
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 …
attributes, such as hash values. However, electronic service providers and others without …