activity
20202026
most citedEfficient Detection of Botnet Traffic by features selection and Decision Trees

50 citations · 51 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Identity-Centric Video Summarization via Hierarchical Fusion of Biometric, Appearance, and 3D Body Features

Milad Mirjalili, Enrique Alegre Gutiérrez, Eduardo Fidalgo Fernández +3

This work presents a video summarization algorithm based on multi-object tracking and person reidentification. We integrate facial embeddings, 3D body-shape features, and visual ap…

cs.CR2021★ 50 cited

Efficient Detection of Botnet Traffic by features selection and Decision Trees

Javier Velasco-Mata, Víctor González-Castro, Eduardo Fidalgo +1

Botnets are one of the online threats with the biggest presence, causing billionaire losses to global economies. Nowadays, the increasing number of devices connected to the Interne…

cs.CV2020

Perceptual Hashing applied to Tor domains recognition

Rubel Biswas, Roberto A. Vasco-Carofilis, Eduardo Fidalgo Fernandez +2

The Tor darknet hosts different types of illegal content, which are monitored by cybersecurity agencies. However, manually classifying Tor content can be slow and error-prone. To s…

cs.CV2020★ 1 cited

Classifying Suspicious Content in Tor Darknet

Eduardo Fidalgo Fernandez, Roberto Andrés Vasco Carofilis, Francisco Jáñez Martino +1

One of the tasks of law enforcement agencies is to find evidence of criminal activity in the Darknet. However, visiting thousands of domains to locate visual information containing…

cs.CV2020

Classification of Industrial Control Systems screenshots using Transfer Learning

Pablo Blanco Medina, Eduardo Fidalgo Fernandez, Enrique Alegre +3

Industrial Control Systems depend heavily on security and monitoring protocols. Several tools are available for this purpose, which scout vulnerabilities and take screenshots from…