activity
20192021
most citedDevice-based Image Matching with Similarity Learning by Convolutional Neural Networks that Exploit the Underlying Camera Sensor Pattern Noise

3 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2021

State of the Art: Content-based and Hybrid Phishing Detection

F. Castaño, E. Fidalgo, E. Alegre +2

Phishing attacks have evolved and increased over time and, for this reason, the task of distinguishing between a legitimate site and a phishing site is more and more difficult, foo…

cs.CV2020

Video Camera Identification from Sensor Pattern Noise with a Constrained ConvNet

Derrick Timmerman, Swaroop Bennabhaktula, Enrique Alegre +1

The identification of source cameras from videos, though it is a highly relevant forensic analysis topic, has been studied much less than its counterpart that uses images. In this…

cs.IR20201 cited

Short Text Classification Approach to Identify Child Sexual Exploitation Material

Mhd Wesam Al-Nabki, Eduardo Fidalgo, Enrique Alegre +1

Producing or sharing Child Sexual Exploitation Material (CSEM) is a serious crime fought vigorously by Law Enforcement Agencies (LEAs). When an LEA seizes a computer from a potenti…

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…

eess.IV20203 cited

Device-based Image Matching with Similarity Learning by Convolutional Neural Networks that Exploit the Underlying Camera Sensor Pattern Noise

Guru Swaroop Bennabhaktula, Enrique Alegre, Dimka Karastoyanova +1

One of the challenging problems in digital image forensics is the capability to identify images that are captured by the same camera device. This knowledge can help forensic expert…

cs.LG20193 cited

Content-Based Features to Rank Influential Hidden Services of the Tor Darknet

Mhd Wesam Al-Nabki, Eduardo Fidalgo, Enrique Alegre +1

The unevenness importance of criminal activities in the onion domains of the Tor Darknet and the different levels of their appeal to the end-user make them tangled to measure their…